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AF178V Data Analysis and Programming for Management and Finance 7.5 credits

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.

About course offering

For course offering

Autumn 2024 Start 26 Aug 2024 single courses students

Target group

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Part of programme

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Periods

P1 (7.5 hp)

Duration

26 Aug 2024
27 Oct 2024

Pace of study

50%

Form of study

Normal Daytime

Language of instruction

Swedish

Course location

KTH Campus

Number of places

10 - 20

Planned modular schedule

Application

For course offering

Autumn 2024 Start 26 Aug 2024 single courses students

Application code

10221

Contact

For course offering

Autumn 2024 Start 26 Aug 2024 single courses students

Contact

Mustapha Habib

Examiner

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Course coordinator

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Teachers

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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.

Recommended prerequisites

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Equipment

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Literature

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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

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Opportunity to raise an approved grade via renewed examination

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Examiner

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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

Main field of study

Technology

Education cycle

First cycle

Add-on studies

No information inserted

Contact

Mustapha Habib