20591 - COMPUTER PROGRAMMING AND DATABASE SYSTEMS
Department of Decision Sciences
Course taught in English
Go to class group/s: 23
Course Director:
CARLO LUCIBELLO
CARLO LUCIBELLO
Mission & Content Summary
MISSION
Scope of the course is to provide the students with a wide range of skills and knowledge in computation and data management/analysis, which are extensively used throughout the whole education program.
While not strictly mandatory, some previous exposure to computer programming (and in particular to the Python language) is highly recommended for this course.
CONTENT SUMMARY
- Fast and furious introduction to Python.
- Advanced programming techniques.
- The Numpy scientific library.
- Data manipulation with Pandas.
- Relational databases (SQLite).
- Non-relational databases (MongoDB).
- Cloud computing on the The Google Cloud Platform.
- Parallel and distributed computation (MapReduce).
- Large scale data analysis with PySpark.
Intended Learning Outcomes (ILO)
KNOWLEDGE AND UNDERSTANDING
At the end of the course student will be able to...
- Describe fundamental programming strategies and the functioning principles of database systems.
APPLYING KNOWLEDGE AND UNDERSTANDING
At the end of the course student will be able to...
- Read/write advanced Python codes.
- Master object-oriented programming.
- Develop codes for algorithmic problem solving.
- Handle large scale databases.
Teaching methods
- Face-to-face lectures
- Online lectures
- Exercises (exercises, database, software etc.)
DETAILS
Exercises consist in programming assignments to be done in class under the supervision of the Instructor and the Teaching Assistants.
Assessment methods
Continuous assessment | Partial exams | General exam | |
---|---|---|---|
|
x |
ATTENDING AND NOT ATTENDING STUDENTS
- The written exam consists in programming exercises to be performed in the computer room.
The exam is used to asses both the "knowledge and understanding" and the "applying knowledge and understanding" learning objectives.
Teaching materials
ATTENDING AND NOT ATTENDING STUDENTS
The textbooks are communicated prior to the start of the course. Handouts of each lecture and sample codes are provided.
Last change 01/09/2020 18:07