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732A60 Advanced Academic Studies

Course information

Course description

The course is designed for the students who are enrolled to the programme "Statistics and Machine Learning". The main aims of the course are to give an information about the program structure and opportunities, to discuss practical questions related to the studies at the program, to learn scientific writing and referencing, ethical rules, how to avoid plagiarism, and how to use library facilities.

The course consists of seminars, project work and a workshop. Due to COVID19 restrictions, the first seminar (coincides with the roll call) will be on campus for all students, but the remaining seminars are given in a mixed campus/distance mode. The students are required to have a working sound and camera turned on during the distance sessions. The workshops will be on campus.

Useful links for master studies:



Course topics

Seminar 1: Introduction to the master's programme.  Slides here (updated)
Seminar 2*: Systems and software: LISAM, SAS, R. Slides here.
Seminar 3*: Study councelor and stress management. Slides on LISAM
Seminar 4: Writing reports: RMarkdown and LaTeX. Slides here
Seminar 5: Scientific methods and data ethics Slides on LISAM
Seminar 6*: Library session. Search engines. Slides on LISAM
Seminar 7: Summaries and critical reviews. Introduction to the project work. Slides on LISAM

Workshop session: Roundtable discussion on the project work


Note: Lectures marked with the star (*) are optional for the students having a bachelor degree in Statistics and Data Analysis (Statistik och Dataanalys) from LiU.



Project work

You are assumed to write a short paper (3-4 pages) on one of the following course topics (choose the one that you are mostly interested in):
  • Academic writing
  • Writing reviews on scientific papers
  • Constructive criticism in the context of higher education
  • Ethical rules in the context of higher education
  • Academic culture
  • Equal opportunities the context of higher education
  • Data ethics and machine ethics
  • Literature search, search engines
  • Plagiarism in the context of higher education
In order to compose your paper, you need to do the following:
  1. Make a statement in the paper about why this topic is important, mention which problems there might exist in the context of this topic
  2. Check the existing literature (scientific papers) on the topic, summarize and present important facts/theories/methods/approaches
  3. Make a critical analysis of the topic by performing some of the following actions:
    • Comparing the problems/methods/approaches you described to the situation/traditions in your own country
    • Providing your own critical judgement about the theories/methods/approaches/guidelines that are present in the literature
    • Interviewing some people about the topic of your paper, summarizing their answers in the paper and making conclusions (construct the interview questions yourself)
The paper should be written in RMarkdown or LaTeX and contain all necessary attributes of a paper such as title, author, abstract, references.

The first submission attempt is through LISAM at latest on 26th of September, 23:59.
The second submission attempt is through LISAM at latest on 10th of October, 23:59.
The third submission attempt is through LISAM at latest on 13th of February 2022, 23:59



Workshop session

The class will be divided into groups, and all students are assumed to read the papers of all students of their group before coming to the workshop. In addition, each student is supposed to make a careful reading of one student paper (decided by the teacher) and compose some amount of discussion points/questions that would suffice for a 20 minutes discussion in the class. These questions/comments should not relate to the grammar or formatting but should rather be such questions that may raise discussions in the class. For admission to the workshop, the student should have passed his/her written report.

Page responsible: Oleg Sysoev
Last updated: 2021-09-15