Computer Science and Engineering

Computers are used in almost every aspect of life: automobile engines, microwave ovens, video games, watches, telephones, laptop computers, medical diagnostic equipment, commercial aircraft, and orbital satellites that deliver cable signals around the world. Computers have become tools that perform the immediate, but that’s not even quick enough. So, while the computer field is one of the fastest growing segments of industry today, it is also one of the fastest changing areas technologically.

Graduates with degrees in computer science or computer engineering might find themselves in a variety of environments – academia, research, industry, government, and private or not-for-profit organizations. On a daily basis, computer professionals are called on to analyze challenges, formulate and test solutions, use advanced communications or multimedia equipment, or work in teams for product development. The opportunities are enormous. However, an education in computer science and engineering does not stop with a college degree. It continues on the job or in the graduate school environment through seminars, conferences, advanced courses, and training.

New ideas are developed every day. Success will require an ongoing commitment to maintaining up-to-date knowledge as well as a dedication to push beyond the comfortable, to explore, innovate, and create. Here’s a partial list of career opportunities for computer science and engineering graduates:

• Artificial Intelligence
  The development of computers that simulate human learning and reasoning ability.

• Computer Design and Engineering
  The design and manufacture of new computer circuits, microchips, and other key electronic components

• Computer Architecture
  The design of new computer instruction sets, working to combine optical or electronic components to create faster, more cost-effective computing environments.

• Information Technology
  The development and/or management of information systems that support industry, which can involve hardware, software, algorithms, databases, and man-machine interfaces.

• Software engineering
  The creation of methods for the production of software systems quicker and more efficiently.

• Computer Theory
  The study of fundamental theories of how computers solve problems and eventual application of those findings to other areas of computer science and engineering.

• Operating Systems and Networks
  The development and implementation of the basic software computers use to supervise themselves or communicate with other computers in a network.

• Software Applications
  The application of computer science and engineering technology to solve problems outside the field of computer science – for example, medical or educational applications.

They can also work as:

 Software Developer

 Software Test Engineer (STE)

 Senior Software Engineer

 Software Development Manager

 Software Architect

 Programmer Analyst

 Systems Developer

 Web Developer

 Software Development Engineer, Test (SDET

 Application Support Analyst

 Computer Systems Analyst

 Database Administrator (DBA

 Systems Administrator

 Systems Engineer (IT)

 Systems Analyst

 Network Administrator

 Network Engineer

 Business Analyst

 Program Manager

 Information Technology Specialist

Course Outcome:

PROGRAM LEARNING OUTCOME (PLO): The learning outcome of the computer science and engineering program

1.  Knowledge: Ability to select and apply the knowledge, techniques, skills, and modern tools of the computer science and engineering discipline;
2. Requirement Analysis: Ability to identify, analyzes, and solves a problem by defining the computing requirements of the problem through effectively gathering of the actual requirements;
3. Problem Analysis: Ability to select and apply the knowledge of mathematics, science, engineering, and technology to computing problems that require the application of principles and applied procedures or methodologies;
4. Design: Ability to design computer based systems, components, or processes to meet the desire requirement;
5. Problem Solving: Ability to apply mathematical foundations, simulation, algorithmic principles, and computer science theory in the modeling and design of computer-based systems in a way that demonstrates comprehension of the tradeoffs involved in design choices.
6. Implementation: Ability to apply design and development principles in the construction of software systems of varying complexity.
7. Experiment and Analysis: Ability to conduct standard tests and measurements; to conduct, analyze, and interpret experiments; and to apply experimental results to improve solutions (products or processes);
8. Community engagement and Engineering: Ability to appreciate human behavior, culture, interaction and organization through studies in the humanities and social sciences. Knowledge of the impact of computing solutions in a local and global context.
9. Teamwork: Ability to function effectively as a member or leader of a technical team to accomplish common goals;
10. Communication: Ability to apply written and oral communication in both technical and non-technical environments; an ability to communicate with a range of audience; and an ability to identify and use appropriate available technical literature;
11. Self-directed: Recognition of the need for and ability to engage in self-directed continuing professional development; be prepared to enter a top-ranked graduate program in Computer Science and Engineering.
12. Ethics: An understanding of and a commitment to address professional, ethical, legal, security, social issues and responsibilities including a respect for diversity;
13. Process Management: A commitment to quality, timeliness, and continuous improvement.