Weekly schedule

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. Every lecture has a Live Question channel available through Tweedback, where students can ask questions during the lecture. The Tweedback session ID of each lecture is included in Moodle
   
4. The recording of each lecture is uploaded to the TUM Moodleplatform.
   

Assessment Method

1. Exam: 100%. The course has a re-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 bonus is 1.0.
   

Exam

The final exam is 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

• Date - Friday 25.02.2022
  
• Time - 11:00 - 12:45
  
• Duration: 100 minutes (100 points)
• Location:
    1. 1450, Willy-Messerschmitt-Zeichensaal (5504.01.450)
    2. 0.003, Tentomax HS5 Garching El (5998.EG.003)
  
  

The retake exam is expected to be conducted on-site in Garching.

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

• Date - Thursday 21.04.2022
  
• Time - 11:00 - 12:45
  
• Duration: 100 minutes (100 points)
• Location: 0.003, Tentomax HS5 Garching El (5998.EG.001)

Project

• Students form teams (3-5 members) to develop a logistic system comprising of back-end microservices, front-end web application, 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 learnt 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. The sessions are available fully online through Zoom. The room link is posted in Moodle.
   
3. Participation of the project consulting hour is not mandatory. The consulting hours are intended only for answering project-related questions.
4. Students can participate in any Zoom session during the five offered time slots to ask questions.
   

Lecture 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

Attendance to the lecture "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

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