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AF178V Data Analysis and Programming for Management and Finance 7.5 credits

Administer About course

In this course you will explore data analysis using programming, focusing on utilizing Python with some real-life applications in finance and management. You will learn how to leverage programming to analyse data effectively and make informed decisions. Join the course to learn practical skills that can propel your career in programming, data analysis, and beyond.

Information per course offering

Choose semester and course offering to see current information and more about the course, such as course syllabus, study period, and application information.

Termin

Information for Spring 2025 Start 17 Mar 2025 single courses students

Course location

KTH Campus

Duration
17 Mar 2025 - 2 Jun 2025
Periods
P4 (7.5 hp)
Pace of study

50%

Application code

20152

Form of study

Normal Daytime

Language of instruction

Swedish

Course memo
Course memo is not published
Number of places

5 - 20

Target group
No information inserted
Planned modular schedule
[object Object]
Schedule
Schedule is not published
Part of programme
No information inserted

Contact

Examiner
No information inserted
Course coordinator
No information inserted
Teachers
No information inserted
Contact

Mustapha Habib

Course syllabus as PDF

Please note: all information from the Course syllabus is available on this page in an accessible format.

Course syllabus AF178V (Autumn 2024–)
Headings with content from the Course syllabus AF178V (Autumn 2024–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

The course aims to provide basic knowledge of data management in finance, modelling and information flow and basic knowledge of programming. The course contains the following parts:

  • Different types of code and basic principles such as variables, functions and conditions
  • Basic data structures, such as lists and arrays
  • Data management and analysis
  • Communication and management in projects using your own programming code

Intended learning outcomes

After passing the course, the student should be able to:

  • Present findings about financial data using different visualisation techniques
  • Combine, manage and analyse heterogeneous data from multiple sources
  • Break down problems into smaller parts and use programming to solve them
  • Apply programming techniques for effective management of projects, reports and finance.

Literature and preparations

Specific prerequisites

At least 7,5 credit mathematical knowledge of Linear Algebra and 7,5 credit of Calculus in one variable.

Equipment

No information inserted

Literature

No information inserted

Examination and completion

If the course is discontinued, students may request to be examined during the following two academic years.

Grading scale

A, B, C, D, E, FX, F

Examination

  • LAB1 - Computer assignment, 3.0 credits, grading scale: P, F
  • LAB2 - Computer assignment, 2.0 credits, grading scale: P, F
  • LAB3 - Computer assignment, 1.0 credits, grading scale: P, F
  • TEN1 - Written exam, 1.5 credits, grading scale: A, B, C, D, E, FX, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

Opportunity to complete the requirements via supplementary examination

No information inserted

Opportunity to raise an approved grade via renewed examination

No information inserted

Examiner

Profile picture Annika Gram

Ethical approach

  • All members of a group are responsible for the group's work.
  • In any assessment, every student shall honestly disclose any help received and sources used.
  • In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.

Further information

Course room in Canvas

Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.

Offered by

ABE/Constructional Engineering and Design

Main field of study

Technology

Education cycle

First cycle

Add-on studies

No information inserted

Contact

Mustapha Habib