30424 - COMPUTER SCIENCE / COMPUTER SCIENCE
Dipartimento di Scienze della Computazione / Department of Computing Sciences
Per la lingua del corso verificare le informazioni sulle classi/
For the instruction language of the course see class group/s below
MASSIMO BALLERINI
Class 15: GIANLUIGI PERTUSI, Class 16: LAURENT POIRRIER, Class 17: MASSIMO BALLERINI, Class 18: GIANLUIGI PERTUSI
Class group/s taught in English
Suggested background knowledge
Mission & Content Summary
MISSION
CONTENT SUMMARY
The course is divided into two sections that highlight two areas of expertise, integrated one to the other to reach the final objective of the course:
- Process and analyze data: deepen the application of the spreadsheet (Excel) to import, structure, process and analyze data, understanding the logic and functions in the solution of business problems, in order to produce meaningful and consistent information according to defined goals.
- Learn computer programming: learn the basics of computer programming, learn to make use of a programming language (Python), use Python to solve business problems.
Intended Learning Outcomes (ILO)
KNOWLEDGE AND UNDERSTANDING
- Recognize the main logics and tools of the spreadsheet for importing, analyzing, processing and presenting data.
- Identify the features of a set of data that are functional to the analysis and subsequent elaborations.
- Recognize the logic and paradigms of software programming.
- Recognize the main constructs of a program (functions, loops, conditional constructs, etc.).
- Read a program to understand its structure and features.
APPLYING KNOWLEDGE AND UNDERSTANDING
- Use the spreadsheet to import, analyze, process data and communicate information useful for decision making.
- Use complex formulas and functions to solve business and management problems with the spreadsheet.
- Apply software programming logics in Python or other languages.
- Examine a program to understand its structure and functioning, modify it or reuse it.
- Develop simple programs in Python to perform calculations and automate even complex operations.
Teaching methods
- Face-to-face lectures
- Online lectures
- Exercises (exercises, database, software etc.)
- Individual assignments
- Interactive class activities (role playing, business game, simulation, online forum, instant polls)
DETAILS
The course alternates lessons in traditional classrooms and practice sessions in computer rooms, focusing especially on the use of Microsoft Excel at an advanced level and on programming with Python.
Practical activities on the main topics covered during the lesson will also be carried out in class.
Furthermore, ongoing self-assessment activities on the skills acquired, will be carried out both during the face-to-face activity and as individual assignments.
Assessment methods
Continuous assessment | Partial exams | General exam | |
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x | x | x |
ATTENDING AND NOT ATTENDING STUDENTS
The exam can be taken in two ways: as two partial exams or as a single general exam.
- Partial exams are intended only for students who regularly attend the lessons and specifically refer to the chapters mentioned in the course syllabus. Only first-year students can take partial exams. It is not possible to take or repeat partial exams in the following years. Students who fail the first partial exam are not allowed to take the second partial exam. To pass the partial exam it is necessary to earn a positive grade on both of them. The final grade comes from the sum of the grades earned in the two partials. Partial exams include a part of multiple choice questions and a part of computer exercises.
- The part of multiple choice questions aims to verify: the ability to read a program understanding its structure and functionalities; the knowledge and learning of the logics and main tools of the spreadsheet and of the logics and paradigms of software programming; the knowledge of the main constructs of a program and the ability to understand its structure and functioning.
- The part of computer exercises aims to verify the ability to use the spreadsheet to solve business problems and to develop or modify simple Python programs to perform calculations and automate operations.
- General exams are intended for students who have not taken or have not passed the partial exams and refer to the general exam bibliography. General exams include a part of multiple choice questions and a part of computer exercises.
- The part of multiple choice questions aims to verify: the ability to read a program understanding its structure and functionalities; the knowledge and learning of the logics and main tools of the spreadsheet and of the logics and paradigms of software programming; the knowledge of the main constructs of a program and the ability to understand its structure and functioning.
- The part of computer exercises aims to verify the ability to use the spreadsheet to solve business problems and to develop or modify simple Python programs to perform calculations and automate operations.
There are also optional ongoing assessments that can allow to achieve a bonus valid only for those who will take the partial exams.
Teaching materials
ATTENDING AND NOT ATTENDING STUDENTS
- M. Ballerini, A. Clerici, M. De Pra, Excel for students in economics and finance, Egea, 2020
- M. Ballerini, A. Clerici, M. Debernardi, D. Del Corno, M. De Pra, Excel workbook, 3rd ed., Egea, 2021
- A. Clerici, M. De Pra, M.C. Debernardi, D. Tosi, Learning Python, Egea, 2020
- M. Ballerini, D. Boschetti, A. Clerici, M. De Pra, M. Debernardi, G. Pertusi, Python workbook, Egea, 2022
- Materials and additional exercises (provided during the course).