# Informatics 1 syllabus

Unix and programming fundamentals.

4 SWS, 5 ECTS, in degree program {abbr}`LSI (Life Science Informatics)` Master and {abbr}`ICS (International Computer Science)`

## Intended learning outcomes

The purpose of the course is for you (the student) to learn to:

(Part 1: Unix)

- describe what fundamental Unix environment tools do
- use Unix shell commands to carry out tasks like
  - inspecting, moving, copying, deleting files and folders
  - consulting documentation
  - applying a chain of data processing commands on an input data (piping)
- implement shell scripts for automating tasks on a Unix system, e.g., file management and text processing
- apply regular expressions on text to extract relevant information
- understand the advantage of git, GitHub, cloud computing and carry out basic git and cloud computing tasks

(Part 2: Python)

- use the the following tools of programming to create applications:
  - expressions, conditionals, functions 
  - loops
  - data structures like lists, dictionaries, sets
- select the right data structure for a given data processing task

(In general)

- breakdown programs into various components, explain what these components do
- make sense of typical programming error outputs and find a fix
- classify a problem based on if the problem can be solved more efficiently with the Unix shell or Python
- evaluate someone else's work and give constructive feedback (e.g, in context of peer-assessed exercises)

## Prerequisites

- Computer science fundamentals (e.g., information, hardware, software, operating systems, shells, algorithms)

## Content (what we do to reach the learning outcomes)

Part 1: The Unix workbench

- Unix and command line basics
- Working with Unix
- Bash programming
- Git & GitHub & cloud computing

Part 2: Introduction to programming with Python (in context of interactive programming)

- Statements, expressions, variables
- Functions, logic, conditionals
- Event-driven programming, local/global variables
- Canvas, drawing, timers
- Lists, keyboard input, the basics of modeling motion
- Mouse input, list methods, dictionaries
- Classes and object-oriented programming
- Basic game physics, sprites
- Sets and animation

## Didactic methods

To reach the learning outcomes we will use the following didactic methods:

- [Flipped classroom](https://en.wikipedia.org/wiki/Flipped_classroom)
- Labs with feedback sessions
- [Pair programming](https://en.wikipedia.org/wiki/Pair_programming)
- Mini projects

## Grading

Portfolio exam comprising:

- written exam 1 hour (70 %)
- 1x programming mini-project presentation (8 %)
- 1x peer feedback to a peer about their mini-project (2%)
- 2x midterm exams (2x 10 %)

The examination is based on the intended learning outcomes.

### Midterm exam

- The midterm exam typically takes place in the fourth week and towards to the end of the class.
- You must be present in the class, unless you still could not arrive in Germany. In the latter case it is not guaranteed that your grade is officially recognized.
- You can use up to 45 min for the exam.

### Mini-project presentation

- You present a Python mini-project or Unix workbench-related project. The latter can be:
  - (1) the capstone project + two Bash programming exercises
  - (2) a Bash script with similar complexity and workload to (1)
- If you intend to present in the next sessions, you post the project that you want to present on the course discussion board (e.g., Moodleoverflow).
- The presentation takes about 10 to 15 min.

### Peer feedback

- You give constructive feedback during a mini-project presentation.
- If you intend to give feedback, you follow the same procedure as in mini-project presentation.

### Other details

- Every week there will be up to three presentations.
- I you do not volunteer for the mini-project presentation & peer feedback or are not present for the exams, it is not possible to get alternative grading.

## Workload breakdown

[Semester schedule & workload breakdown](https://nextcloud.th-deg.de/s/pTcCefA6MZcqxyP)

## Materials

- [The Unix workbench - Coursera](https://www.coursera.org/learn/unix)
  - accompanying lecture notes: [aydos.de/unix-workbench](https://aydos.de/unix-workbench)
- [Interactive programming with Python 1 - Coursera](https://www.coursera.org/learn/interactive-python-1) and [part 2](https://www.coursera.org/learn/interactive-python-2)
  - accompanying lecture notes: [aydos.de/interactive-python](https://aydos.de/interactive-python)

- Additional exercises
  - [Instructor versions](https://mygit.th-deg.de/lsi/nbgrader-notebooks/-/tree/main/inf1-exercises-source)
  - [Student versions](https://mygit.th-deg.de/lsi/nbgrader-notebooks/-/jobs/artifacts/main/browse/inf1-exercises-release?job=build)

- Previous Exams 
  - [Instructor versions](https://mygit.th-deg.de/lsi/nbgrader-notebooks/-/tree/main/inf1-exams-source)
  - [Student versions](https://mygit.th-deg.de/lsi/nbgrader-notebooks/-/jobs/artifacts/main/browse/inf1-exams-release?job=build)

Additional:

- [Joyner, Introduction to Computing, 2016, ISBN: 1-260-08227-X](http://www.davidjoyner.net/b/wp-content/uploads/2017/03/Joyner_IntroductiontoComputing_1stEdition.pdf)

## Time & Room

This course takes place only in winter semester. For time and room refer to [Thabella LSI-1](https://thabella.th-deg.de/thabella/opn/pdf/page/LSI-1).