# Computer Science Major (B.S.)

https://ceps.unh.edu/computer-science/program/bs/computer-science

Computer science focuses on problem solving with a particular emphasis on the design of computer-efficient solutions. Within a few years of obtaining a bachelor's degree alumni will have:

- Engaged in successful careers in diverse areas of software development and will be pursuing advanced education in computer science or related fields;
- Applied the full range of core computer science concepts and techniques to fill software development needs of an organization;
- Adapted to changing directions of computing technology and used state-of-the-art techniques to confront new problems effectively;
- Navigated the complex interconnections between software and the goals and constraints of the organization served;
- Participated responsibly in the pervasive and changing role of computing technology in global society as both software engineers and citizens;
- Operated collaboratively in a team environment and assumed leadership roles.

The B.S. in computer science program is accredited by the Computing Accreditation Commission of ABET.

Computer science majors must complete the following coursework in computer science, mathematics, computer engineering, and science. (all courses are 4 credits unless indicated otherwise):

Code | Title | Credits |
---|---|---|

Computer Science Courses | ||

Select one of the following: | ||

CS 400 | Introduction to Computing | 1 |

CS 415 & CS 416 | Introduction to Computer Science I and Introduction to Computer Science II | 8 |

or CS 414 & CS 417 | From Problems to Algorithms to Programs and From Programs to Computer Science | |

or CS 410P & CS 417 | Introduction to Scientific Programming/Python and From Programs to Computer Science | |

or CS 410C & CS 417 | Introduction to Scientific Programming/C and From Programs to Computer Science | |

CS 420 | Foundations of Programming for Digital Systems | 4 |

or ECE 543 | Introduction to Digital Systems | |

IT 403 | Introduction to Internet Technologies | 4 |

CS 501 | Professional Ethics and Communication in Technology-related Fields | 4 |

CS 515 | Data Structures and Introduction to Algorithms | 4 |

CS 518 | Introduction to Software Engineering | 4 |

CS 520 | Assembly Language Programming and Machine Organization | 4 |

CS 527 | Fundamentals of Cybersecurity | 4 |

CS 619 | Introduction to Object-Oriented Design and Development | 4 |

CS 620 | Operating System Fundamentals | 4 |

CS 659 | Introduction to the Theory of Computation | 4 |

CS 758 | Algorithms | 4 |

CS 761 | Programming Language Concepts and Features | 4 |

CS 791 & CS 792 | Senior Project I and Senior Project II | 4 |

or CS 799 | Thesis | |

Computer Science Electives: | ||

Select one course from the following implementation electives: | 4 | |

Compiler Design | ||

Systems Programming | ||

Introduction to Artificial Intelligence | ||

Introduction to Parallel and Distributed Programming | ||

Computer Graphics | ||

Select one course from the following theory electives: | 4 | |

Performance Evaluation of Computer Systems | ||

Formal Specifications and Verification of Software Systems | ||

Machine Learning | ||

Computer Vision | ||

Mathematical Optimization for Applications | ||

Select two additional CS courses numbered 690-799 as general electives | 8 | |

Professional Electives ^{1} | ||

Select one course from the following: | 3-4 | |

CS 700-level course | ||

Intermediate Web Design | ||

Server-side Web Development | ||

Client-side Web Development | ||

Scripting Languages | ||

Data Science and Analytics | ||

Cybersecurity Practices | ||

Project Management for Information Technology | ||

Topics in Information Technology | ||

Linearity I | ||

Linearity II | ||

Differential Equations with Linear Algebra | ||

Multidimensional Calculus | ||

Introduction to Linear Algebra | ||

Linear Algebra for Applications | ||

Complex Analysis for Applications | ||

Advanced Statistical Methods for Research | ||

Statistical Methods for Quality Improvement and Design | ||

Applied Regression Analysis | ||

Design of Experiments I | ||

Survival Analysis | ||

Time Series Analysis | ||

Design of Experiments II | ||

Foundations of Applied Mathematics I | ||

Foundations of Applied Mathematics II | ||

Introduction to Nonlinear Dynamics and Chaos | ||

Introduction to Numerical Methods I | ||

Probability with Applications | ||

Principles of Statistical Inference | ||

Geometry | ||

Abstract Algebra | ||

One-Dimensional Real Analysis | ||

Logic | ||

Set Theory | ||

Topology | ||

Complex Analysis | ||

Computer Organization | ||

Embedded Microcomputer Based Design | ||

ECE 700-level course | ||

Professional and Technical Writing | ||

Principles of Genetics | ||

Genomics and Bioinformatics | ||

Mathematics Courses | ||

MATH 425 | Calculus I | 4 |

MATH 426 | Calculus II | 4 |

MATH 531 | Mathematical Proof | 4 |

MATH 539 | Introduction to Statistical Analysis | 4 |

or MATH 644 | Statistics for Engineers and Scientists | |

Science courses ^{2} | ||

One Discovery Biological Science (BS) with Discovery Lab | 4 | |

One Discovery Physical Science (PS) with Discovery Lab | 4 | |

Other Courses | ||

Discovery requirements not already covered by required courses ^{3} | 24 | |

Total Credits | 128-129 |

^{1} | Professional electives must either be chosen from the list of approved courses or another non-introductory CEPS course with significant science and/or engineering focus approved on a per-course basis by the undergraduate studies committee. |

^{2} | Courses must carry the Discovery attributes of Biological Science or Physical Science and include Discovery lab (DLAB). |

^{3} | One of these courses must be writing intensive. |

Computer science majors must maintain an overall grade-point average of 2.0 or better in all required computer science, mathematics, and computer engineering courses in order to graduate. If at the end of any semester, including the first, a student's cumulative grade-point average in these courses falls below 2.0, the student may not be allowed to continue as a CS major.

In order to meet the CS major requirements, the following courses must be passed with a grade of C- or better CS 410C, CS 410P, CS 414, CS 415, CS 416, CS 417, CS 420, CS 515, CS 520, IT 403.

If a student wishing to transfer into the computer science major has any coursework that is applicable to the major, the grades in those courses must satisfy the minimum grade requirements for the B.S. degree in computer science. The student must have an overall grade-point average of 2.0 or better in all courses taken at the university.

## Recommended Plan of Study

First Year | ||
---|---|---|

Fall | Credits | |

CS 400 | Introduction to Computing | 1 |

CS 415 | Introduction to Computer Science I | 4 |

IT 403 | Introduction to Internet Technologies | 4 |

MATH 425 | Calculus I | 4 |

Discovery I | 4 | |

Credits | 17 | |

Spring | ||

CS 416 | Introduction to Computer Science II | 4 |

CS 420 | Foundations of Programming for Digital Systems | 4 |

MATH 426 | Calculus II | 4 |

ENGL 401 | First-Year Writing | 4 |

Credits | 16 | |

Second Year | ||

Fall | ||

CS 515 | Data Structures and Introduction to Algorithms | 4 |

CS 518 or CS 527 |
Introduction to Software Engineering or Fundamentals of Cybersecurity |
4 |

MATH 531 |
Mathematical Proof or Introduction to Statistical Analysis or Statistics for Engineers and Scientists |
4 |

CS 501 | Professional Ethics and Communication in Technology-related Fields (Or Discovery II) | 4 |

Credits | 16 | |

Spring | ||

CS 520 | Assembly Language Programming and Machine Organization | 4 |

MATH 539 |
Introduction to Statistical Analysis or Statistics for Engineers and Scientists or Mathematical Proof |
4 |

CS 527 or CS 518 |
Fundamentals of Cybersecurity or Introduction to Software Engineering |
4 |

Discovery II (or CS 501) | 4 | |

Credits | 16 | |

Third Year | ||

Fall | ||

CS 619 | Introduction to Object-Oriented Design and Development | 4 |

CS 620 | Operating System Fundamentals | 4 |

CS 659 | Introduction to the Theory of Computation (Or Professional Elective) | 4 |

CS 761 | Programming Language Concepts and Features (or Discovery III) | 4 |

Credits | 16 | |

Spring | ||

Professional Elective (or CS 659) | 4 | |

Discovery III (or CS 761) | 4 | |

Discovery IV | 4 | |

CS 758 | Algorithms (Or CS 700-level General Elective or Discovery V) | 4 |

Credits | 16 | |

Fourth Year | ||

Fall | ||

CS 791 | Senior Project I | 2 |

CS 700-level Implementation or Theory Elective | 4 | |

CS 700-level General Elective (or Discovery V) | 4 | |

Discovery V (or CS 758) | 4 | |

Discovery VI | 4 | |

Credits | 18 | |

Spring | ||

CS 792 | Senior Project II | 2 |

CS 700-level Implementation or Theory Elective | 4 | |

CS 700-level General Elective (or CS 758) | 4 | |

Discovery VII | 4 | |

Credits | 14 | |

Total Credits | 129 |

Discovery (7): Historical Perspectives, Humanities, Fine and Performing Arts, Social Science, World Cultures, Physical Science Discovery Lab, Biological Science Discovery Lab with ONE mandatory course with Writing Intensive (WI) attribute

Graduates of the UNH BS CS program will have an ability to:

- Analyze a complex computing problem and to apply principles of computing and other relevant disciplines to identify solutions.
- Design, implement, and evaluate a computing-based solution to meet a given set of computing requirements in the context of the program’s discipline.
- Communicate effectively in a variety of professional contexts.
- Recognize professional responsibilities and make informed judgments in computing practice based on legal and ethical principles.
- Function effectively as a member or leader of a team engaged in activities appropriate to the program’s discipline.
- Apply computer science theory and software development fundamentals to produce computing-based solutions.
- Learn independently about new technologies, and develop the skills needed to understand them.