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

The course is intended to provide the student with the basics of applying data analytics in accounting. After completing the course, students will be able to:

  • Gain a managerial overview of the potential uses of data analytics in accounting contexts
  • Extract, cleanse, and transform heterogeneous data into machine-readable form
  • Analyze data to generate information for strategic and operational decision-making
  • Understand the potential and pitfalls of machine learning techniques
  • Use Python programming language and implement Python modules for data analysis

Credits: 6

Schedule: 01.03.2021 - 16.04.2021

Teacher in charge (valid 01.08.2020-31.07.2022): Jukka Sihvonen

Teacher in charge (applies in this implementation): Jukka Sihvonen

Contact information for the course (valid 19.02.2021-21.12.2112):

Instructor: Jukka Sihvonen

Teaching Assistant: Jaakko Wallenius

CEFR level (applies in this implementation):

Language of instruction and studies (valid 01.08.2020-31.07.2022):

Teaching language: English

Languages of study attainment: English

CONTENT, ASSESSMENT AND WORKLOAD

Content
  • Valid 01.08.2020-31.07.2022:

    The course is an introduction to data analysis with an emphasis on the concepts and techniques
    most relevant to accounting analytics. The secondary aim of this course is to acquaint students with Python programming language and its rich ecosystem for data analytics. The general topics of the course are:

    • Handling large unstructured datasets
    • Regression and classification (machine learning)
    • Prediction: framework, applications, and evaluation

    To achieve these learning objectives, a combination of lectures, online training, in-class exercises, and empirical assignments will be utilized.

  • Applies in this implementation:

    See Syllabus (updated 22.2.2021)

Assessment Methods and Criteria
  • Valid 01.08.2020-31.07.2022:

    • Assignments (40%)
    • Lecture diary (20%)
    • Final exam (40%)

    Student has to pass the final exam and pre-defined assignments for completing the course.

  • Applies in this implementation:

    See Syllabus (updated 22.2.2021)

Workload
  • Valid 01.08.2020-31.07.2022:

    • Lectures approximately 24h
    • Lab sessions 12h
    • Exam 3h
    • Independent work, 121h

    Attendance in some contact teaching may be compulsory.

  • Applies in this implementation:

    See Syllabus (updated 22.2.2021)

DETAILS

Study Material
  • Valid 01.08.2020-31.07.2022:

    • Wes McKinney (2017). Python for Data Analysis, 2nd Ed. O’Reilly Media
    • Online study resources defined by the instructor
    • Material distributed by the instructor

  • Applies in this implementation:

    See Syllabus (updated 22.2.2021)


Prerequisites
  • Valid 01.08.2020-31.07.2022:

    Basic accounting studies are required. Recommended course:

    • 22C28000 Accounting and Information Systems, OR
    • ABL-C1102 Hands-On-Analytics on Accounting Information Systems

    The course builds on Python programming language, but previous coding experience is not a prerequisition. However, the student is required to pass course assignments which include programming components.

Registration for Courses
  • Valid 01.08.2020-31.07.2022:

    Via WebOodi. Please see WebOodi for the registration dates.

    Course is open for BIZ students only in 2020-21.

    If more students have enrolled by the enrolment deadline than can be accepted on the course, priority will be given to students based on their study right: 1. Accounting MSc students 2. BIZ exchange students 3. other BIZ MSc students 4. Bachelor's students in Accounting who have completed more than 150 cr 5. BIZ Bachelor's students in other majors who have completed more than 150 cr

  • Applies in this implementation:

    During the academic year 2020-2021, the course will be completely online.

    The lectures will be recorded and posted online. Therefore, compulsory attendance is not required.

    See Syllabus (updated 22.2.2021)

FURTHER INFORMATION

Further Information
  • Valid 01.08.2020-31.07.2022:

    It is recommended to bring your own laptop to the lectures. Work with your own laptop during the course if possible.

    Course is open for BIZ students only in 2020-21.

  • Applies in this implementation:

    During the academic year 2020-2021, the course will be completely online.

    The lectures will be recorded and posted online. Therefore, compulsory attendance is not required.

    See Syllabus (updated 22.2.2021)

Details on the schedule