Description
The aim of this course this year is to provide students with a comprehensive understanding of software design processes and hands-on experience in developing web/mobile applications integrated with AI technologies. In this course, we will explore fundamental software design concepts, development tools, and cutting-edge technologies to prepare you for the dynamic world of software engineering. The syllabus is divided into three sections:
Section 1: Introduction to Cross-Platform Development with Flutter and Dart
This section will immerse you in the exciting realm of cross-platform development using Flutter and its associated programming language, Dart. Extending your existing knowledge about C++ or Java, you will delve into more advanced programming concepts such as functional programming, null safety, and asynchronous programming. Additionally, we will explore the integration of cloud services, specifically Firebase, as a robust backend solution.
Section 2: Exploring AI Fundamentals and Services
In the second section, we will demystify the world of Artificial Intelligence. You will learn some basic Machine Learning and Generative AI concepts, as well as hands-on experience with available services, including the OpenAI APIs. This knowledge will empower you to ideate and implement creative term projects, fostering innovation and critical thinking.
Section 3: Software Design Process and User-Centric Development
The final section of the course focuses on guiding you through the software design process. From identifying user needs to designing core features, building prototypes, and conducting usability tests, you will gain practical skills that are vital for successful software development. This section emphasizes user-centric approaches, ensuring that your applications meet the needs and expectations of end-users.
Instructor
Teaching Assistants
Time & Location
- Video & lectures: Tue. 3:30-5:20pm at Delta 105
- Labs: Thu. 3:30-5:20pm at EECS 326.328
- Office hour: Thu. 10:10am-12:00pm at Delta 729
Grading Policy
- Labs: 40% ( 4% * 10 labs)
- Design demo (with usability testing): 30%
- Implementation demo: 30%
- Q/A bonus: up to 5%
Prerequisites
To maximize your success in this course, it is essential to possess a solid foundation in an object-oriented programming language, such as C++ or Java, familiarity with data structures, and the ability to navigate through a nontrivial project (e.g., one hosted on GitHub).