* Information Technology Resources

This twelve-module course includes suggested activities and assignments for each module. Particular assignments can be consolidated or eliminated, depending on the needs of specific classes.

Network and Computer Security is an upper-level undergraduate, first-year graduate course on network and computer security.

This is an interactive course in Java for first time programmers. It offers a scaffolding approach to learning, starting with the basics of computing and gradually progressing to fairly sophisticated problem solving such as binary search and insertion sort. All through this learning path, there are many assessment quizzes and programming activities to keep the learners engaged.

Introduction to Computer Science and Programming in Python is intended for students with little or no programming experience. It aims to provide students with an understanding of the role computation can play in solving problems and to help students, regardless of their major, feel justifiably confident of their ability to write small programs that allow them to accomplish useful goals.

This course covers the mechanics of editing and compiling programs in C++ beginning with a discussion of the essential elements of C++ programming: variables, loops, expressions, functions, and string class. Then, it covers the basics of object-oriented programming: classes, inheritance, templates, exceptions, and file manipulation. It also reviews function and class templates and the classes that perform output and input of characters to/from files. It also covers namespaces, exception handling, and preprocessor directives.

This class builds a bridge between the recreational world of algorithmic puzzles (puzzles that can be solved by algorithms) and the pragmatic world of computer programming, teaching students to program while solving puzzles. Python syntax and semantics required to understand the code are explained as needed for each puzzle.

This course is the continuation of 6.0001 Introduction to Computer Science and Programming in Python and is intended for students with little or no programming experience. It aims to provide students with an understanding of the role computation can play in solving problems and to help students, regardless of their major, feel justifiably confident of their ability to write small programs that allow them to accomplish useful goals.

This course explores visualization methodologies to conceive and represent systems and data, e.g., financial, media, economic, political, etc., with a particular focus on climate change data in this version of the course. Topics include basic methods for research, cleaning, and analysis of datasets, and creative methods of data presentation and storytelling. The course considers the emotional, aesthetic, ethical, and practical effects of different presentation methods as well as how to develop metrics for assessing impact. Coursework includes readings, visualization exercises, and a final project.

This course focuses on the allocation and use of technology resources across an entire firm as part of the larger organizational strategy.