Teaching & Curriculum

An introduction to algorithmic problem solving using the Python programming language: objects, values, types, expressions, simple statements, compound statements, inputs, and outputs, intended for anyone interested in learning how to program.

Introduction to algorithmic problem solving, procedural and object-oriented programming in Java, fundamental data types, control structures, methods, arrays, classes, and software testing.

Software development techniques in an object-oriented language (Java) emphasizing systems methods, top-down design, unit testing, modularity, GUI design, streams, and structured techniques.

Introduction to systems-level programming in C/C++ on UNIX/Linux platforms, process control, system calls, memory management, and socket programming.

Fundamental mathematical tools used in computer science: sets, logic, inductive proofs, recurrences, combinatorics, discrete probability, and graph theory.

Social and ethical issues relating to computer science and information technology: privacy, intellectual property, open source, the digital divide, professional ethics, and current events.

Client-server web architectures, dynamic DOM manipulation, REST APIs, full-stack web applications, asynchronous JavaScript, and backend integration.

Introduction to computer networks, focusing on the Internet architecture, protocol layering, application-layer protocols, transport layer (TCP/UDP), network layer (IP routing), link layer protocols, local area networks, network security, and network programming.

Design, development, and evaluation of user interfaces for computer systems. Concepts in human factors, usability, and interface design, and the effects of human capabilities and limitations on interaction.