Advanced Topics of Software Engineering

Retake Exam:

• Registration via TUMonline
• Registration for retake can be done between 13.03.2023 and 24.03.2023
• Deregistration from the exam can be done until 27.03.2023.

Registration

• Registration in TUMonline
• If you are officially matriculated at TUM ie you can enroll in this course using TUM online. The registration period for the course: 09/26/2022 - 10/20/2022.
  
• If you cannot register for this course in time (e.g. due to missing enrollment), please contact the course organizers.
• For questions related to course registration or application, please contact the course organizer. 

Lecture

1. The lectures are conducted fully online via Zoom. The Zoom link is posted in Moodle
   
2. There are two weekly lectures on Monday 12:15 - 13:45 and Friday 08:30 - 10:00.
3. The recording of each lecture is uploaded to the TUM Moodle
   

Assessment Method

1. Exam: 100%. The course has a retake exam.
2. Project (Optional): additional bonus to the final grade, maximum by +1.0. For example, if you achieve 2.3 in the exam, and obtain a project bonus of 1.0, then the final grade is 1.3. The maximum final grade with a bonus is 1.0.

Exam

The final and retake exams are expected to be conducted on-site in Garching. We will inform you if there is any change to the exam format in the future.

1. Students must register for the exam in TUM Online
2. Language of examination – English only
3. Closed-book exam
   • English dictionary is allowed

Project

• Students form teams (3-5 members) to develop a logistic system comprising back-end microservices, front-end web applications, and an embedded system.
• The course offers practical exercises to teach necessary technical skills for the project development. You will learn and apply the following technical knowledge during the development:
  a. Back-end: Spring, MongoDB, Java. Knowing Spring Security & Spring Data MongoDB is an advantage.
  b. Front-end: React, Javascript. Knowing Redux / React Hooks is an advantage.
  c. Embedded System: Python (basic), Hardware Programming experience with Raspberry Pi is an advantage.
  d. Deployment: Docker
• To achieve the maximum bonus (+1.0) on the final grade, students have to develop all the required features of the project.
• All the necessary hardware for developing the embedded system will be provided to you.
• The project development is optional. If you do not submit the project, no point is deducted from the final grade.

Central Exercise

1. Throughout the course, students will work on weekly exercises containing theoretical questions and programming tutorials. The theoretical questions let students practice the knowledge learned from the lecture, while the programming tutorials are essential for developing the course project.
2. The weekly central exercise is conducted via Zoom. The room link is posted in Moodle.
3. NO Submission of your exercise work is required.
4. In each central exercise session, the tutor will present solutions to the theoretical and programming questions in the exercises.
5. The solution to each exercise is NOT recorded
6. Attending the central exercises is optional, but it is beneficial for your exam and project.
   
   

Project Consulting Hours

1. We offer five consulting sessions to answer questions related to the project development.
2. Participation in the project consulting hour is not mandatory. The consulting hours are intended only for answering project-related questions.
3. Consulting hours sessions will be held onsite and online. Please check Moodle for additional information.

Schedule

Content

1. The context of software engineering
   1. Introduction and overview
   2. Factors affecting the design of a software system
   3. Characteristics of software systems in different domains
   4. Case studies from two domains (Two guest lectures!)
2. From requirements to system design
   1. Software architecture
   2. Software libraries and frameworks
   3. Antipatterns in software engineering
   4. Model-driven software engineering
   5. Software product line engineering
   6. Safety
   7. Information security
   8. Testability
3. Software architectures and their trade-offs
   1. Introduction to distributed systems and middleware 
   2. Database-centric architectures
   3. Message-oriented architectures
   4. Object-oriented architectures
   5. Component-based architectures
   6. Service-oriented architectures
4. From source code to physical deployment
   1. Introduction and historical perspective
   2. Version control
   3. Continuous integration
   4. Continuous deployment
   5. Virtual machines and containers
   6. Software architectures for the cloud

Prerequisites

•  Introduction to Software Engineering (IN0006)

Intended Learning Outcomes

• Appreciate software engineering:
  • Build complex software systems in the context of frequent change
• Understand
  • how quality attributes affect the software architecture and conversely, how architectures influence these attributes in different domains
  • why there is  a need to make quality trade-offs while considering different software architectures including component-based and service-oriented architectures
  • how to efficiently deliver the developed software system to the stakeholders
• Be able to apply
  • modeling techniques
  • system analysis and design by considering quality trade-offs
  • patterns, guidelines, and best practices in software engineering
  • tools for system configuration, integration, and deployment

References