SEDS 481
Software Engineering and Data Science Primer I
Basic computer knowledge, history of computing, terms and definitions, system components and processes, computer architecture, data storage, computer networks and internet, software engineering, software engineering practices, unified modelling language, unit testing, problem solving and algorithm design, data structures, application fields of computers.
Course Objectives:
1. Developing a common understanding about computer science,
2. Gaining ability to describe, analyze and solve the problems,
3. Teaching the algorithmic thinking and design in a higher level,
4. Gaining basic knowledge about computer architecture, programming languages, data storage, software engineering and computer networks,
5. Teaching the application fields of computers.
Recommended or Required Reading:
J. G. Brookshear. Computer Science An Overview. 7th Ed. 2002. Addison-Wesley.
Volker Gruhn, Rüdiger Striemer, The Essence of Software Engineering. Springer Cham, doi.org/10.1007/978-3-319-73897-0, ISBN: 978-3-319-73896-3. Published: 04 July 2018
Topics |
Introduction to software engineering |
Algorithms |
Data abstraction |
Operating systems |
Computer Networks and Internet |
Programming languages |
Programming languages cont. |
Data structures |
OOP fundamentals and design |
Software engineering and design |
UML |
Software architecture |
Unit Testing |
General evaluation |
Grading:
Homework Assignments: 20%
Literature Review and Reading Assignments: 30%
Final Exam: 50%