Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.

LEARNING OUTCOMES

Credits: 3

Schedule: 01.03.2022 - 12.04.2022

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Barbara Keller

Contact information for the course (applies in this implementation):

Credits: 3

Schedule: 01.03.2022 - 12.04.2022

Teacher in charge (applies in this implementation): Barbara Keller

Contact information for the course (valid 01.03.2022-12.04.2022):

Teacher in Charge: Dr. Barbara Keller

Head TA: Visa Mäkeläinen


CEFR level (valid for whole curriculum period):

Language of instruction and studies (applies in this implementation):

Teaching language: English. Languages of study attainment: English

CONTENT, ASSESSMENT AND WORKLOAD

Content
  • applies in this implementation

    Applies in this implementation:

    Target audience: Everyone who wants to deepen their programming skills by using python to solve engineering tasks and analyze data
    Prerequisites: Basic programming skills similar to the skills from CS-A1113 Basics in Programming Y1 (while and for-loop / if-then-else)


    Some selected learning outcomes:
    • From data given in a CSV file, you are able to tell the min, max and average
    • Given a data set you are able to clean your data for further processing
    • You can explain what regression is and apply it
    • You will be able to present your scientific findings and your data in an appropriate way


Assessment Methods and Criteria
  • applies in this implementation

    • The course consists of individual exercises and a project. 
      The final grade is a weighted average of 40% of the exercise grades and 60% of the project grade.



Workload
  • applies in this implementation

    The course takes 7 weeks and is divided into 3 main lecture components and the presentation of the group project:
    • Reading and Structure (week 1 & 2)
    • Calculations and Functions (week 3 & 4)
    • Results and Presentation (week 5 & 6)
    • Group project presentation (week 7)

DETAILS

Substitutes for Courses
Prerequisites