Browse Courses

This course introduces students to problem solving and programming using an object-oriented language. Topics include basic data types and control structures, functions, arrays, file I/O, objects, and classes.

This course covers basic data structures and their implementations including arrays, stacks, queues, linked lists, binary trees, and graphs. Analysis of algorithms, searching and sorting algorithms, and introduction to algorithm design techniques.

Introduction to database systems and database management. Topics include data models, database design, relational algebra, SQL, normalization, and transaction management.

Advanced study of algorithm design and analysis techniques. Topics include divide and conquer, dynamic programming, greedy algorithms, graph algorithms, and NP-completeness.

Introduction to concurrent programming and systems. Topics include processes and threads, synchronization, deadlock, concurrent data structures, and parallel algorithms.

Formal languages, grammars, parsing techniques, lexical analysis, semantic analysis, code generation, and optimization.

Introduction to engineering design, teamwork, communication, and professional practice. Students work in teams on design projects.

Systems of linear equations, matrix algebra, determinants, vector geometry, introduction to vector spaces, eigenvalues and eigenvectors, and applications.

Review of high school mathematics, limits and continuity, derivatives, curve sketching, optimization, antiderivatives, definite integrals, and applications.

Sample spaces, probability axioms, conditional probability, independence, random variables, expectation, variance, moment generating functions, and limit theorems.