Exam Code: CCC Practice exam 2023 by Killexams.com team
Course on Computer Concepts
NIELIT Computer study tips
Killexams : NIELIT Computer study tips - BingNews https://killexams.com/pass4sure/exam-detail/CCC Search results Killexams : NIELIT Computer study tips - BingNews https://killexams.com/pass4sure/exam-detail/CCC https://killexams.com/exam_list/NIELIT Killexams : Why study Computer Science?

Computer Science Department

Why study Computer Science?

The most important aspect of computer science is problem solving, an essential skill for life. Students study the design, development and analysis of software and hardware used to solve problems in a variety of business, scientific and social contexts. Because computers solve problems to serve people, there is a significant human side to computer science as well.

Top Ten Reasons to Study Computer Science

The Association of Computing Machinery is an international organization for computer scientists. The ACM has developed the following list of top ten reasons to study computer science which we quote:

  1. Computing is part of everything we do! Read More...
  2. Expertise in computing enables you to solve complex, challenging problems. Read More...
  3. Computing enables you to make a positive difference in the world.  Read More...
  4. Computing offers many types of lucrative careers. Read More...
  5. Computing jobs are here to stay, regardless of where you are located. Read More...
  6. Expertise in computing helps even if your primary career is something else. Read More...
  7. Computing offers great opportunities for true creativity and innovativeness. Read More...
  8. Computing has space for both collaborative work and individual effort. Read More...
  9. Computing is an essential part of well-rounded academic preparation. Read More...
  10. Future opportunities in computing are without boundaries. Read More...

 

Thu, 10 Feb 2022 18:07:00 -0600 en text/html https://www.depauw.edu/academics/departments-programs/computer-science/why-study-computer-science/
Killexams : Electrical and Computer Engineering

Electrical Engineers build a wide variety of products and work in almost all industries. They design control and communication systems, sensors, displays, learning machines, robots, instruments, voice recognition, computer vision, electronics, motors, power systems, the internet of things—the list goes on and on. Required study includes electronics, microprocessors, digital circuit design, control systems, communication systems, power systems, signal processing, and software. Electives can then be chosen to learn more about any of the above fields or even bioengineering. It allows more freedom in choosing electives than Computer Engineering, and thus is a very flexible degree that allows the holder to work on a wide variety of applications utilizing vastly different skills. This allows our graduates to choose careers best fitting their exact interests. For instance, some of our graduates develop complex new mathematical algorithms to achieve the highest possible system performance; others work with basic physics to develop better circuits and devices; others work outside in the field to Boost the generation and transmission of electric power; some become high-level executives at companies like Google; others complete law or medical degrees. The Bioengineering option of Electrical Engineering provides the right training to design medical instruments and with a few additional courses becomes a full Pre-Med or Pre-Dental major.  After graduating, our students have gone on to the world’s best graduate programs: Stanford, MIT, Johns Hopkins, etc.   


Degree Programs
Computer Engineering is a blend of Computer Science and Electrical Engineering. In fact, a Computer Engineering student can change majors to Computer Science within the first three semesters without losing any credits. More careful planning is required to switch from Computer Science to Computer Engineering. Computer Engineering students receive training that allows them to design complex computer systems and embed them in custom applications such as robots, spacecraft, automobiles, etc. A typical system may interface with a sensor to measure the world, then decide how to best use the information to achieve goals and eventually turn on actuators which perform the needed task. They also develop computer vision systems, high-performance computers and software, and the internet of things. They take many of the same required courses as Electrical Engineers, but fill in their electives with computer-specific courses. Graduates have the ability to design electric circuits, understand network hardware, design computer systems, and write the software inside those systems. Compared to Electrical Engineers, Computer Engineers have less breadth of knowledge in Electrical Engineering but more depth in software and computer hardware. Compared to Computer Scientists, Computer Engineers know much more about hardware and signal/system theory. Computer Engineers sometimes also major in either Electrical Engineering or Computer Science to get two degrees. Our students have gone on to the world’s best graduate programs and top companies.

Degree Programs

Thu, 12 Jan 2023 17:23:00 -0600 en text/html https://www.uwyo.edu/electrical/
Killexams : Computer Science Bachelor of Science Degree Course Sem. Cr. Hrs. First Year CSCI-141

Computer Science I

This course serves as an introduction to computational thinking using a problem-centered approach. Specific syllabus covered include: expression of algorithms in pseudo code and a programming language; functional and imperative programming techniques; control structures; problem solving using recursion; basic searching and sorting; elementary data structures such as lists, trees, and graphs; and correctness, testing and debugging. Assignments (both in class and for homework) requiring a pseudo code solution and an implementation are an integral part of the course. An end-of-term project is also required. Lec/Lab 6 (Fall, Spring).

4 CSCI-142

Computer Science II

This course delves further into problem solving by continuing the discussion of data structure use and design, but now from an object-oriented perspective. Key syllabus include more information on tree and graph structures, nested data structures, objects, classes, inheritance, interfaces, object-oriented collection class libraries for abstract data types (e.g. stacks, queues, maps, and trees), and static vs. dynamic data types. Concepts of object-oriented design are a large part of the course. Software qualities related to object orientation, namely cohesion, minimal coupling, modifiability, and extensibility, are all introduced in this course, as well as a few elementary object-oriented design patterns. Input and output streams, graphical user interfaces, and exception handling are covered. Students will also be introduced to a modern integrated software development environment (IDE). Programming projects will be required. (Prerequisites: CSCI-141 with a grade of C- or better or equivalent course.) Lec/Lab 6 (Fall, Spring, Summer).

4 MATH-181

General Education – Mathematical Perspective A: Project-Based Calculus I

This is the first in a two-course sequence intended for students majoring in mathematics, science, or engineering. It emphasizes the understanding of concepts, and using them to solve physical problems. The course covers functions, limits, continuity, the derivative, rules of differentiation, applications of the derivative, Riemann sums, definite integrals, and indefinite integrals. (Prerequisite: A- or better in MATH-111 or A- or better in ((NMTH-260 or NMTH-272 or NMTH-275) and NMTH-220) or a math placement exam score greater than or equal to 70 or department permission to enroll in this class.) Lecture 6 (Fall, Spring, Summer).

4 MATH-182

General Education – Mathematical Perspective B: Project-Based Calculus II

This is the second in a two-course sequence intended for students majoring in mathematics, science, or engineering. It emphasizes the understanding of concepts, and using them to solve physical problems. The course covers techniques of integration including integration by parts, partial fractions, improper integrals, applications of integration, representing functions by infinite series, convergence and divergence of series, parametric curves, and polar coordinates. (Prerequisites: C- or better in (MATH-181 or MATH-173 or 1016-282) or (MATH-171 and MATH-180) or equivalent course(s).) Lecture 6 (Fall, Spring, Summer).

4 MATH-190

General Education – Elective: Discrete Mathematics for Computing

This course introduces students to ideas and techniques from discrete mathematics that are widely used in Computer Science. Students will learn about the fundamentals of propositional and predicate calculus, set theory, relations, recursive structures and counting. This course will help increase students’ mathematical sophistication and their ability to handle abstract problems. (Co-requisites: MATH-182 or MATH-182A or MATH-172 or equivalent courses.) Lecture 3 (Fall, Spring).

3 YOPS-10

RIT 365: RIT Connections

RIT 365 students participate in experiential learning opportunities designed to launch them into their career at RIT, support them in making multiple and varied connections across the university, and immerse them in processes of competency development. Students will plan for and reflect on their first-year experiences, receive feedback, and develop a personal plan for future action in order to develop foundational self-awareness and recognize broad-based professional competencies. Lecture 1 (Fall, Spring).

0  

General Education – First Year Writing (WI)

3  

General Education – Ethical Perspective

3  

General Education – Artistic Perspective

3  

General Education – Global Perspective

3  

General Education – Social Perspective

3 Second Year CSCI-099

Undergraduate Co-operative Education Seminar

This seminar helps students prepare for Computer Science co-operative education employment (“co-op”) by developing job search strategies and materials, and reviewing relevant policies. Students are introduced to RIT’s Office of Career Services and Cooperative Education, and learn about professional and ethical responsibilities for their co-op and subsequent professional experiences. Completion of this seminar and the related assignments are required before a CS student can be registered for co-op. (Prerequisites: This class is restricted to COMPSCI-BS or COMPEX-UND Major students with at least 2nd year standing.) Lecture 1 (Fall, Spring).

0 CSCI-243

The Mechanics of Programming

Students will be introduced to the details of program structure and the mechanics of execution as well as supportive operating system features. Security and performance issues in program design will be discussed. The program translation process will be examined. Programming assignments will be required. (Prerequisite: C- or better in CSCI-140 or CSCI-142 or CSCI-242 or SWEN-124 or CSEC-124 or GCIS-124 or equivalent course.) Lecture 3 (Fall, Spring, Summer).

3 CSCI-488

CS Undergraduate Summer Co-op (summer)

Students perform professional work related to Computer Science for which they are paid. Students must complete a student co-op work report for each term for which they are registered; students are also evaluated each term by their employer. A satisfactory grade is given for co-op when both a completed student co-op work report and a completed, corresponding employer evaluation are received and when both documents are generally consistent. When registered for co-op, students are considered by RIT to have full-time status. In order to register for co-op for summer term, we expect that students will work a minimum of 10 weeks and work a minimum of 35 hours per week. CO OP (Summer).

0 Choose one of the following:

3

    CSCI-262

   Introduction to Computer Science Theory

This course provides an introduction to the theory of computation, including formal languages, grammars, auto-mata theory, computability, and complexity. (Prerequisites: (MATH-190 or MATH-200) and (CSCI-140 or CSCI-141 or CSCI-242 or SWEN-123 or SWEN-124 or CSECI-123 or CSEC-124 or GCIS-123 or GCIS-124) or equivalent courses.) Lecture 3 (Fall, Spring, Summer).

      CSCI-263

   Honors Introduction to Computer Science Theory

This course provides a challenging introduction to the theory of computation with an emphasis on problem solving. syllabus include formal languages, grammars, auto-mata theory, computability, and complexity. (Prerequisites: (MATH-190 or MATH-200) and (CSCI-140 or CSCI-141 or CSCI-242 or SWEN-123 or SWEN-124 or CSECI-123 or CSEC-124 or GCIS-123 or GCIS-124) or equivalent courses.) Lecture 3 (Fall).

  MATH-241

General Education – Elective: Linear Algebra

This course is an introduction to the basic concepts of linear algebra, and techniques of matrix manipulation. syllabus include linear transformations, Gaussian elimination, matrix arithmetic, determinants, vector spaces, linear independence, basis, null space, row space, and column space of a matrix, eigenvalues, eigenvectors, change of basis, similarity and diagonalization. Various applications are studied throughout the course. (Prerequisites: MATH-190 or MATH-200 or MATH-219 or MATH-220 or MATH-221 or MATH-221H or equivalent course.) Lecture 3 (Fall, Spring).

3 MATH-251

General Education – Elective: Probability and Statistics I

This course introduces trial spaces and events, axioms of probability, counting techniques, conditional probability and independence, distributions of discrete and continuous random variables, joint distributions (discrete and continuous), the central limit theorem, descriptive statistics, interval estimation, and applications of probability and statistics to real-world problems. A statistical package such as Minitab or R is used for data analysis and statistical applications. (Prerequisites: MATH-173 or MATH-182 or MATH 182A or equivalent course.) Lecture 3 (Fall, Spring, Summer).

3 Choose one of the following:

3

   CSCI-261

   Analysis of Algorithms

This course provides an introduction to the design and analysis of algorithms. It covers a variety of classical algorithms and data structures and their complexity and will equip students with the intellectual tools to design, analyze, implement, and evaluate their own algorithms. (Prerequisites: (CSCI-243 or SWEN-262) and (MATH-190 or MATH-200) or equivalent courses.) Lecture 3 (Fall, Spring).

     CSCI-264

   Honors Analysis of Algorithms

This course provides a challenging introduction to the design and analysis of algorithms with an emphasis on problem solving and algorithmic research. It covers a variety of classical algorithms and data structures and their complexity, as well as deeper coverage of more advanced material; for example, linear programming, approximation algorithms, and randomized algorithms. The course will equip students with the intellectual tools to design, analyze, implement, and evaluate their own algorithms. (Prerequisites: (CSCI-243 or SWEN-262) and (MATH-190 or MATH-200) or equivalent courses.) Lecture 3 (Fall).

  SWEN-261

Introduction to Software Engineering

An introductory course in software engineering, emphasizing the organizational aspects of software development and software design and implementation by individuals and small teams within a process/product framework. syllabus include the software lifecycle, software design, user interface issues, specification and implementation of components, assessing design quality, design reviews and code inspections, software testing, basic support tools, technical communications and system documentation, team-based development. A term-long, team-based project done in a studio format is used to reinforce concepts presented in class. (Prerequisite: CSCI-140 or CSCI-142 or CSCI-242 or SWEN-124 or CSEC-124 or GCIS-124 or equivalent course.) Lec/Lab 3 (Fall, Spring).

3  

General Education – Elective: Lab Science II†

4  

General Education – Elective

3  

General Education – Natural Science Perspective: Lab Science I‡

4  

General Education – Scientific Principles Perspective†

3 Third Year CSCI-250

Concepts of Computer Systems

An introduction to the hardware and software organization of computer systems. The course emphasizes a multilevel model of computer organization. syllabus include the digital logic level; the micro architecture level; the machine instruction set level; the operating system level; and the assembly language level. Programming assignments will be required. (Prerequisites: (CSCI-243 or 4003-334) and (MATH-190 or MATH-200 or 1016-366) or equivalent courses.) Lecture 3 (Fall, Spring, Summer).

3 CSCI-320

Principles of Data Management

This course provides a broad introduction to the principles and practice of modern data management, with an emphasis on the relational database model. syllabus in relational database systems include data modeling; the relational model; relational algebra; Structured Query Language (SQL); and data quality, transactions, integrity and security. Students will also learn approaches to building relational database application programs. Additional syllabus include object-oriented and object-relational databases; semi-structured databases (such as XML); and information retrieval. A database project is required. (Prerequisites: (MATH-190 or MATH-200) and (CSCI-140 or CSCI-142 or CSCI-242 or SWEN-124 or CSEC-124 or GCIS-124) or equivalent courses.) Lecture 3 (Fall, Spring, Summer).

3 CSCI-331

Introduction to Artificial Intelligence

An introduction to the theories and algorithms used to create artificial intelligence (AI) systems. syllabus include search algorithms, logic, planning, machine learning, and applications from areas such as computer vision, robotics, and natural language processing. Programming assignments are an integral part of the course. (Prerequisites: (CSCI-243 or SWEN-262) and (MATH-251 or STAT-205) or equivalent courses. Students cannot take and receive credit for this course if they have taken CSCI-630.) Lecture 3 (Fall, Spring, Summer).

3 CSCI-499

Computer Science Undergraduate Co-op (spring)

Students perform professional work related to Computer Science for which they are paid. Students work full time during the term for which they are registered. Students must complete a student co-op work report for each term for which they are registered; students are also evaluated each term by their employer. A satisfactory grade is given for co-op when both a completed student co-op work report and a completed, corresponding employer evaluation are received and when both documents are generally consistent. (Enrollment in this course requires permission from the department offering the course.) CO OP (Fall, Spring).

0  

General Education – Science Elective‡

3  

General Education – Immersion 1 (WI)

3 Fourth Year CSCI-251

Concepts of Parallel and Distributed Systems

This course is an introduction to the organization and programming of systems comprising multiple computers. syllabus include the organization of multi-core computers, parallel computer clusters, computing grids, client-server systems, and peer-to-peer systems; computer networks and network protocols; network security; multi-threaded programming; and network programming. Programming projects will be required. (Prerequisites: CSCI-243 or SWEN-262 or equivalent courses.) Lecture 3 (Fall, Spring).

3 CSCI-344

Programming Language Concepts

This course is a study of the syntax and semantics of a diverse set of high-level programming languages. The languages chosen are compared and contrasted in order to demonstrate general principles of programming language design and implementation. The course emphasizes the concepts underpinning modern languages rather than the mastery of particular language details. Programming projects will be required. (Prerequisites: CSCI-243 or SWEN-250 or IGME-309 or 4003-334 or 4010-361 or 4080-487) and (MATH-190 or MATH-200) or equivalent courses.) Lecture 3 (Fall, Spring, Summer).

3 CSCI-471

Professional Communications (WI-PR)

This course focuses on developing and improving verbal and written communication skills specific to the discipline of computer science. syllabus include the different forms of writing in computer science (books, theses, journal articles, technical reports, manuscripts, etc.), writing styles of computer scientists, document readability and usability, documents for career readiness, effective presentations, teamwork and peer review, research methods, experimentation, documenting mathematics and algorithms, proper formatting of graphs, figures, and tables, and ethical, social, and professional issues facing Computer Scientists. This course is approved as Writing Intensive. (This class is restricted to students with at least 4th year standing COMPSCI-BS or COMPSCI-2M) Lecture 3 (Fall, Spring, Summer).

3 SWEN-732

Collaborative Software Development 

This course covers processes, tools, and techniques for software development, in general, and collaborative, distributed software development, in particular. Students will learn how to design a process specific to their organization and development project needs. This includes how to select a software development life-cycle model, how to select and sequence the development and management activities of a collaborative, distributed software development team structure and dynamics, and how to define the work products, tools, and methods used to perform those activities. The Software Process Engineering Metamodel (SPEM, an Object Management Group standard) will serve to graphically describe, analyze, discuss, and Boost software development processes. Special attention will be given to collaboration needs and approaches for small and large teams that may be globally distributed. (Prerequisites: This course is restricted to students with graduate standing in Software Engineering program or GCCIS graduate programs who have completed SWEN-601 and SWEN-610 or equivalent courses.) Lecture 3 (Fall).

3 SWEN-746

Model-Driven Development 

Software models help the software engineer to understand, specify, and analyze software requirements, designs, and implementations (code components, databases, support files, etc.). Model-driven development is a software engineering practice that uses tool-enabled transformation of requirements models to design models and then to code and associated implementation artifacts. Students will use the Unified Modeling Language (UML) and other modeling techniques to capture software requirements, designs, and implementations. Students will also use formal modeling methods to semi-automatically transform among the various models and to study the quality attributes of the modeled software, such as performance, reliability, security, and other qualities. (Co-requisites: SWEN-601 and SWEN-610 or equivalent courses.) Lecture 3 (Fall).

3  

General Education – Immersion 2

3  

Computer Science Electives

9  

General Education – Science Elective‡

3 Fifth Year CSCI-499

Computer Science Undergraduate Co-op (fall)

Students perform professional work related to Computer Science for which they are paid. Students work full time during the term for which they are registered. Students must complete a student co-op work report for each term for which they are registered; students are also evaluated each term by their employer. A satisfactory grade is given for co-op when both a completed student co-op work report and a completed, corresponding employer evaluation are received and when both documents are generally consistent. (Enrollment in this course requires permission from the department offering the course.) CO OP (Fall, Spring).

0  

Computer Science Elective

3  

General Education – Immersion 3

3  

General Education – Elective

3  

Open Electives

6 Sixth Year SWEN-640

Research Methods

Overview of the academic research methodologies used in graduate level work. syllabus include: Writing style, Audience analysis, Research Planning, Experiment design and result analysis, Document structure, Research validation, and the process for submission and review to conferences and journals. In this course the student will identify and develop a detailed thesis or capstone proposal that may be continued in a subsequent course. An in-depth study of a software engineering course will be research focused. The student selects a research problem, conducts background research, and selects appropriate technology and methodologies needed to fully conduct the project. The course is selected by the student and is in agreement with the student’s advisor and committee. The proposal is presented in a scholarly format for approval by the advisor and committee. (Graduate Computing and Information Sciences) Lecture 3 (Spring).

3 SWEN-755

Software Architecture

A system’s software architecture is the first technical artifact that illustrates a proposed solution to a stated problem. For all but the simplest system, the achievement of qualities such as flexibility, modifiability, security, and reliability is critically dependent on the components and interactions defined by the architecture. The course focuses on the definition of architectural structures, the analysis of architectures in terms of trade-offs among conflicting constraints, the documentation of architecture for use over a product’s life cycle, and the role of architecture during coding activities. (Prerequisites: SWEN-601 and SWEN-610 and SWEN-746 or equivalent courses.) Lecture 3 (Fall).

3 SWEN-777

Software Quality Assurance

This course explores the concepts of process and product quality assurance and introduces approaches and support tools used to extract the information needed to assess and evaluate the quality of existing software systems. Major maintenance activities are detailed including unit and regression testing, test case generation, software refactoring, API migrations, bug localization and triage, and predicting technical debt. Students will participate in an active learning approach by exercising and practicing code reviews, software testing tools, and quality frameworks. (Prerequisites: SWEN-601 and SWEN-610 or equivalent courses.) Lecture 3 (Spring).

3 SWEN-799

Independent Study

This course provides the graduate student an opportunity to explore an aspect of software engineering in depth, under the direction of an adviser. The student selects a topic, conducts background research, develops the system, analyses results, and disseminates the project work. The report explains the topic/problem, the student's approach and the results. (Completion of 9 semester hours is needed for enrollment) (Enrollment in this course requires permission from the department offering the course.) Ind Study (Fall, Spring, Summer).

3  

Graduate Elective

3 Seventh Year SWEN-790

Thesis

This course provides the student with an opportunity to execute a thesis project, analyze and document the project in thesis document form. An in-depth study of a software engineering course will be research focused, having built upon the thesis proposal developed prior to this course. The student is advised by their primary faculty adviser and committee. The thesis and thesis defense is presented for approval by the thesis adviser and committee. (Enrollment requires completion of all core courses and permission from the department offering the course.) Thesis 6 (Fall, Spring, Summer).

6  

Graduate Elective

3 Total Semester Credit Hours

150

Fri, 06 May 2022 07:18:00 -0500 en text/html https://www.rit.edu/study/computer-science-bs
Killexams : Computer Science

Computer Science at Bristol

At Bristol, you will be taught by internationally renowned experts with a passion for computer science. You can study syllabus such as high-performance computing, machine learning, cryptology and artificial intelligence. You will also develop skills in software development and system design, and gain important transferable skills in teamwork, communication and enterprise.

We work closely with industry, enabling you to gain knowledge from leading companies, work with industrial mentors and spend time with them on internships. The department awards several industry-sponsored prizes to exceptional students. Each year several client-led products are developed and released by computer science students.

You will develop your analytical skills and get experience devising practical solutions for real-world challenges during a range of individual and group projects that you will co-create with leading academics.

Our teaching facilities include a new collaborative lab, designed for flexibility and usability and equipped with state-of-the-art audiovisual technology and Linux machines. It's a brilliant addition to our modern building, which also houses the popular Hackspace – a creative space for hacking, making and crafting – and a large atrium that's a hive of activity.

The faculty's Industrial Liaison Office matches every student with an industrial mentor and assists with internships and industry placements.

On my course there are a few special moments where something really clicks and suddenly I feel like I'm completely in my element. I love being in this city. Different parts have very different vibes but all within walking distance – it makes it feel more like a home.

Catt, BSc Mathematics and Computer Science

Career prospects

Four people are sat around a laptop having a discussion in a teaching room.

There is strong and growing demand for computer science skills. Our courses provide a balance between leading-edge syllabus and technical and transferable skills such as teamwork, communication and entrepreneurship. This means Bristol graduates have a wide range of career opportunities and a high earning potential.

Typical career routes include:

  • Software, products and services
  • IT and commerce
  • Media
  • Startups
  • Postgraduate study.

Find out more about these career routes.

15 months after graduating, 95% of BSc Computer Science students were in work or further study, and 100% of those working were in highly skilled jobs. The average salary after 15 months for Bristol computer science graduates is £32,000, which is £6,000 more than the UK average (Graduate Outcomes survey, 2017/18 graduates).

Our graduates are highly regarded by employers such as Apple, Google, Microsoft, IBM, Hewlett Packard, Logica and Cisco.

What our students do after graduating

Course structure

A student wears a virtual reality headset

Our degrees first teach the core concepts underpinning computer science before allowing you to choose from a wide range of advanced computer science topics.

In year one, you will study the fundamental core skills and knowledge underpinning computer science: all three major programming paradigms; algorithmics; the mathematics integral to computer science; computer architecture; and software tools.

You will gain experience of implementing these techniques in supervised practical classes and individual assignments, solving problems using a variety of programming languages. This will quickly build up your analytic and programming abilities, enabling you to adapt easily to new programming languages and paradigms.

In year two, you will take classes introducing major areas within computer science, including theoretical and data-driven computer science and the relationship between computer science and society.

You will also gain experience working on a practical project in collaboration with a real-world client such as Hewlett Packard or the Environment Agency, before specialising in areas of computing that are of interest to you for the rest of your degree.

Bristol, tech city

Red lights in the evening at We the Curious in Millennium Square, Bristol.

Bristol is a UK 'top digitech city' (TechNation 2018) and the University is part of SETsquared, the 'world's best university business incubator' (UBI Global, 2017–19).

A concentration of high-technology industries in and around Bristol offers unparalleled opportunities before and after graduation, such as scholarships, summer placements, industrial seminars and exclusive employment opportunities.

We keep our courses relevant thanks to our strong links with local employers working in software development, animation, microelectronics, games and communications, as well as other industries with significant computer users such as financial services.

Computer Science courses for 2023

Single Honours

Joint Honours

Computer science continues to revolutionise our society. Our department's mission is to better understand and drive this forward through excellence in research and education.

Computer science is subject that combines fascinating intellectual challenges with practical problem-solving skills that are in demand. Studying computing at Bristol gives you the skills and knowledge to be an influential part of the future.

Why study Computer Science at Bristol?

At Bristol you will learn from staff at the forefront of research. You will work on real-world projects, with industry mentors, in a department that emphasises theoretical rigour, practical application and innovation.

Our degrees provide you with a thorough understanding of the fundamentals of computer science and their application.

Choice and discovery underpin our courses. You design your degree from a diverse and evolving set of optional units after completing a set of core units in early years.

Project work is central; you will work in teams on real-world applications, focusing on your individual project in your final year. We work closely with industry, enabling you to gain knowledge from leading companies, work with industrial mentors and spend time with them on internships.

We value enterprise and creativity and we provide you opportunities to excel in a range of areas, from social enterprise projects to starting your own business. The department awards several industry-sponsored prizes each year to exceptional students. Each year several real-world, client-led products are developed and released by computer science students.

What kind of student would this course suit?

Our degree programmes are especially suited to creative and mathematical students with a strong interest in working in a fast moving, demanding and rewarding profession. You will have problem-solving skills and will enjoy learning the detail of how things work, as well as the innovation required to make them better. You will be hard working, enjoy a challenge and desire a varied degree with direct relevance to many areas of society.

How is this course taught and assessed?

Our teaching methods include lectures, tutorials, laboratory classes, group work and online resources. Independent study is also expected, combining lecture notes with textbooks and other materials. You will be allocated a personal tutor who will support your progress and provide you advice throughout your degree. Assessment is by exams, coursework and project work throughout each academic year.

What are my career prospects?

Computing provides a route into many different career paths, giving our graduates a wide range of options for the kind of work they go on to do. Our courses provide a balance between leading-edge syllabus and technical and transferable skills, such as teamwork, communication and entrepreneurship.

Many of our students apply their knowledge by starting their own businesses supported by the department. Our graduates are highly regarded by employers such as Apple, Google, Microsoft, IBM, Hewlett Packard, Logica and Cisco.

Find out more about what our students do after graduating.

Mon, 22 Aug 2022 00:24:00 -0500 en text/html https://bristol.ac.uk/study/undergraduate/2023/computer-science/
Killexams : Study Abroad for Computer Science/Computer Engineering Majors

Can I study abroad as a Computer Science or Computer Engineering major?

YES! Many Computer Science majors/minors and Computer Engineering majors can and do study abroad during their time at Northwestern. 

Student Perspective

I highly recommend studying abroad especially students from non-traditional paths (minorities, engineers, etc). It really opens one's eyes to the world and gives you a sense of responsibility and awareness that no other program would.

When can I study abroad as a Computer Science or Computer Engineering major?

You can begin exploring possible study abroad options as early as your first year. There are opportunities to study abroad all terms, including the summer after your first year at NU. 

Advanced planning is necessary to find a time to go abroad that does not interfere with your coursework sequence to avoid delaying graduation. The beginning of Fall quarter one year before you intend to study abroad is a great time to start seriously considering your options, but you can begin planning as soon as you start at Northwestern by letting your adviser know you are interested in study abroad. If you intend to take Computer Science courses abroad, the department recommends you first complete the intro sequence (111, 211, 212, 213, 214) at NU. These courses will prepare you for almost any 300-level course abroad. With the exception of very specialized or advanced courses, once you’ve completed the intro sequence you are ready to take almost any course you want. 

It is possible to study abroad during your final year at NU and even graduate abroad. However, students should be aware that it can take 2-4 months to receive a transcript from study abroad and if you study abroad during your final quarter at Northwestern, this will likely delay your real date of graduation. Finally, you should avoid going abroad your senior year if you have a lot of degree requirements left to fulfill. Trying to complete a lot of requirements in your final few terms at NU could be risky. 

What classes can I take abroad?

The Computer Science Department recommends students take a mix of theme or distribution classes and at most one or two Computer Science classes. Taking all theme or distribution classes while abroad is fine. Please review the Computer Science Study Abroad Policy document available on the Northwestern CS study abroad website for specific guidance on how to select Computer Science classes abroad. 

If you have a second major or a minor, you could also take courses to fulfill those requirements, learn, improve on a language, or just to take advantage of the opportunity to learn something new. 

You can read more about academic planning and choosing courses abroad on the GLO website. 

What type of credit can I get from study abroad?

If you would like to have classes you take abroad count for Computer Sscience credit, you will need to submit the list of classes you are planning to take to: study-abroad@cs.northwestern.edu . You MUST do this before the internal Computer Science deadline. You may want to review the list of courses that have been approved in the past to guide your course selection: NU CS Historical Transfer Credit (cs-nu.github.io) 

Your Computer Science/Computer Engineering adviser can help you identify what distribution or theme requirements or major/minor credit could be best taken abroad and your GLO adviser can help you identify programs that offer these types of credit. 

Suggested Programs for Computer Science and Computer Engineering Students

Interested in other programs or other types of credit? Search for more study abroad options.

Next Steps

Unsure where to start? Check out the Get Started page for some helpful next steps.

We also encourage you to meet with your Computer Science/Computer Engineering adviser to discuss your academic course plan and with a GLO adviser to learn more about the programs you're considering.

Thu, 06 Jan 2022 03:16:00 -0600 en text/html https://www.northwestern.edu/abroad/study-abroad/academic-planning/major-specific/computer-science.html
Killexams : Electrical Engineering Major

In UMass Lowell's B.S. in Electrical Engineering, you will learn the fundamentals of electrical engineering beginning with basic mathematics and science, followed by their application to courses in engineering science and engineering design. 

Courses in engineering science and design provide a balanced view of hardware, software, application tradeoffs, basic modeling techniques and the use of computer-aided design tools. 

You will also take courses in the humanities and social sciences that help broaden your understanding of the role that non-technical knowledge plays in determining a high level of professional responsibility.

An important aspect of our curriculum is the senior-year technical elective program intended to broaden or deepen technical knowledge according to students’ interests and competencies. In addition, the project-based capstone experience challenges students to develop a custom-designed product for a client with a disability through the Assistive Technology Program.

Accredited by ABET, our hands-on program emphasizes experimental science and technology through investigative laboratory work and classroom lectures and demonstrations.

Visit the Academic Catalog for a complete course listing and to learn about the Electrical Engineering/Computer Science Double Major and Electrical Engineering/Physics Double Major.

Fri, 17 Feb 2023 17:59:00 -0600 en text/html https://www.uml.edu/Engineering/Electrical-Computer/Programs/Undergraduate/electrical-engineering-major.aspx
Killexams : Pay for 2023 grads: Humanities grads set for raises, computer science majors a dip

Tech layoffs may take a toll on the financial outlook of this year's crop of college graduates, with a new survey predicting that 2023 computer science majors will earn salaries 4% below a year ago. Yet communications and humanities majors are likely to see healthy boosts in starting salaries, the study found.

Major tech companies such as Microsoft, Alphabet and Meta have laid off tens of thousands of workers in exact weeks, reversing a hiring spree that surged during the pandemic as millions of Americans worked remotely and demand jumped for digital products.

But a slowing economy is putting pressure on the industry to trim expenses, which in turn could translate into lower salaries for 2023 grads with computer science degrees, according to the new study from the National Association of Colleges and Employers, which surveyed 170 employers about their salary plans. Despite the decline, computer science grads will still enjoy a relatively high starting salary, at almost $73,000.

The tech layoffs "are most likely the cause" of the expectations for lower salaries for CS majors, said Andrea Koncz, senior research manager at the National Association of Colleges and Employers.

It's unclear whether the impact will be short-lived, but the issue could echo throughout new grads' careers — especially if the U.S. dips into a recession, as some economists predict — given that entering the workforce during a downturn can crimp a worker's earnings for up to a decade, research has found.

But, Koncz added, "Salaries to new college graduates appear to be stable and there are increases for the Class of 2023 graduates in all but two areas of study compared to the Class of 2022." 

Social science grads are expected to receive pay that is 1.7% lower than a year earlier, the study found. The previous time employers expected to pay computer science majors less was in 2020, although that was a dip of 0.2%, Koncz added.

On the other hand, grads with humanities degrees will enjoy a salary boost of 4.5%, while communications majors will receive a 4.8% increase, the survey found. 

"Humanities and communications majors are most likely keeping up with the typical increases seen in new graduate salaries," Koncz said. 

Even with those bumps, these majors are likely to earn far less than computer science graduates, the study found. For instance, starting salaries for humanities majors — such as philosophy, history, literature and the arts — are likely to be about $53,000 this year, or almost $20,000 less than CS majors.

The study found that more than half of employers intend to increase salaries for new college graduates, with the typical increase between 3% to 5%. 

Fri, 17 Feb 2023 08:27:00 -0600 en-US text/html https://www.cbsnews.com/news/salary-computer-science-graduates-will-decline-2023/
Killexams : Computer Engineering Major

Program Educational Objectives are defined as the expected accomplishments of graduates of the program in first few years after graduation. Graduates of the BSE Computer or Electrical Engineering program at the University of Massachusetts at Lowell will be able to:

Be established and recognized as a valued professional and effective communicator in industries related to electrical, computer and electronic technologies. 

Practice their profession in a collaborative, team-oriented manner that embraces the multidisciplinary and multicultural environment of today’s business world. 

Engage in lifelong learning and professional development via post graduate education and participation in professional organizations. 

Function as a responsible member of society with willingness to mentor fellow employees and an understanding of the ethical, social and economic impact of their work in a global context. 

The student outcomes for the BSE degree in electrical or computer engineering at UMass Lowell are as follows. At graduation students should: 

  • A strong grounding in the fundamentals including the ability to formulate and solve engineering problems by applying the principles of mathematics, science and electrical & computer engineering. 
  • Ability to analyze and synthesize engineering problems including design and conduct experiments, use standard test equipment and interpret experimental data. 
  • Ability to design reliable systems, devices or processes from initial specifications to a deliverable system. 
  • Ability to work in a multidisciplinary team environment. Ability to communicate effectively in both verbal and written forms. 
  • Ability to appreciate the complexities of professional environments, including taking responsibility for oneself, working effectively and professionally as a team member, and being mindful of ethical, economic, and contemporary concerns. 
  • Competence in taking the initiative for one's own professional development and recognition of the need and ability in engaging in post graduate education and lifelong continual learning. 
  • Ability to independently accomplish engineering tasks. 
  • Ability to enter industry with the engineering techniques, skills, and tools required to be able to solve real-world problems in electrical and computer engineering.
Mon, 14 Feb 2022 00:44:00 -0600 en text/html https://www.uml.edu/Engineering/Electrical-Computer/Programs/Undergraduate/computer-engineering-major.aspx
Killexams : Dehydration is linked to premature aging and illness, according to a study—Tips to stay hydrated

usatoday.com cannot provide a good user experience to your browser. To use this site and continue to benefit from our journalism and site features, please upgrade to the latest version of Chrome, Edge, Firefox or Safari.

Thu, 16 Feb 2023 18:13:00 -0600 en-US text/html https://www.usatoday.com/story/life/reviewed/2023/01/31/best-ways-hydrate-after-dehydration-study-linked-aging-illness/11152878002/
Killexams : Electrical and Computer Engineering

Electrical and computer engineering has an enormously successful history of revolutionizing our lives through inventions such as computers, cell phones, and digital cameras. Northwestern is building on this history by conducting groundbreaking research and preparing the next generation of engineers to address global challenges: by developing new wearable systems to Boost health care, designing the future smart grid to provide greener energy, or integrating communications and computation to enable intelligent transportation systems. 

Our Department of Electrical and Computer Engineering prides itself on both research and teaching. We create a collaborative environment in which interdisciplinary work is encouraged and students develop close relationships with faculty and get involved in cutting-edge research. Areas of focus include computational imaging, computer architecture, embedded systems, information theory, machine learning and signal processing, physical electronics, photonics, quantum devices, VLSI, and wireless communication.

Fri, 03 Feb 2023 08:08:00 -0600 en text/html https://www.mccormick.northwestern.edu/electrical-computer/
CCC exam dump and training guide direct download
Training Exams List