Module Handbook

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Notes on the module handbook of the department Social Sciences

Die hier dargestellten Studiengang-, Modul- und Kursdaten des Fachbereichs Sozialwissenschaften [SO] befinden sich noch in Entwicklung und sind nicht offiziell.

Die offiziellen Modulhandbücher finden Sie unter https://www.sowi.uni-kl.de/studium/ .

Module SO-04-2602-M-5

Principles and Techniques of Research in Cognitivce Svience (M, 16.0 LP)

Module Identification

Module Number Module Name CP (Effort)
SO-04-2602-M-5 Principles and Techniques of Research in Cognitivce Svience 16.0 CP (480 h)

Basedata

CP, Effort 16.0 CP = 480 h
Position of the semester 1 Sem. in WiSe
Level [5] Master (Entry Level)
Language [EN] English
Module Manager
Lecturers
Allen, Shanley E.M., Prof. Dr. (PROF | DEPT: SO)
Ebert, Achim, apl. Prof. Dr. (PROF | DEPT: INF)
Fernandez, Leigh, Dr. (WMA | DEPT: SO)
Panis, Sven, Dr. (WMA | DEPT: SO)
+ further Lecturers of the department Social Sciences
Area of study [SO-ESR] Empirical Social Research
Reference course of study [SO-88.A95-SG] M.Sc. Cognitive Science
Livecycle-State [NORM] Active

Notice

Der Besuch der Übung "Einführung in die Webbasierte Programmierung" wird empfohlen.

Courses

Type/SWS Course Number Title Choice in
Module-Part 		Presence-Time /
Self-Study 		SL SL is
required for exa. 		PL CP Sem.
2S SO-01.2600-K-5
Design and Analysis of Experiments
P 28 h 92 h
PRAK
- no 4.0 WiSe
2S SO-07-26.3000-K-5
Data analysis with SPSS and R
P 28 h 32 h
PRAK
- no 2.0 WiSe
1S SO-12-26.1000-K-5
Human Subjects
P 14 h 16 h
U-Schein
- no 1.0 WiSe
2V+2U INF-80-10-K-2
Web-based Introduction to Programming
P 56 h 4 h - - no 2.0 WiSe
2S SO-12-36.1000-K-5
Scientific Writing
P 28 h 62 h
PRAK
- no 3.0 WiSe
  • About [SO-01.2600-K-5]: Title: "Design and Analysis of Experiments"; Presence-Time: 28 h; Self-Study: 92 h
  • About [SO-01.2600-K-5]: The study achievement "[PRAK] practical exercises (successful participation)" must be obtained.
  • About [SO-07-26.3000-K-5]: Title: "Data analysis with SPSS and R"; Presence-Time: 28 h; Self-Study: 32 h
  • About [SO-07-26.3000-K-5]: The study achievement "[PRAK] practical exercises (successful participation)" must be obtained.
  • About [SO-12-26.1000-K-5]: Title: "Human Subjects"; Presence-Time: 14 h; Self-Study: 16 h
  • About [SO-12-26.1000-K-5]: The study achievement "[U-Schein] proof of successful participation in the exercise classes (ungraded)" must be obtained.
  • About [INF-80-10-K-2]: Title: "Web-based Introduction to Programming"; Presence-Time: 56 h; Self-Study: 4 h
  • About [SO-12-36.1000-K-5]: Title: "Scientific Writing"; Presence-Time: 28 h; Self-Study: 62 h
  • About [SO-12-36.1000-K-5]: The study achievement "[PRAK] practical exercises (successful participation)" must be obtained.

Examination achievement PL1

  • Form of examination: homework/term paper
  • Examination Frequency: each semester
  • Examination number: 38134 ("Basic Module 2: Principles &Techniques of Research in Cognitive Science")

Contents

From [SO-01.2600-K-5] Design and Analysis of Experiments:
Theoretical foundation and history of quantitative approach to research, fundamentals of experimental design, practical aspects of experiment preparation and procedure, analysis of experimental data.

Course achievement: Practical exercise

From [SO-07-26.3000-K-5] Data analysis with SPSS and R:
n this course students will learn how to calculate descriptive statistics, visualize data, evaluate assumptions, and perform correlational analysis, simple and multiple regression, logistic regression, t-tests, ANOVA, and generalized linear mixed effects regression (i.e., event history analysis).
From [SO-12-26.1000-K-5] Human Subjects:
The importance of respecting research participants as fellow human beings, ethical principles for conducting research, writing applications for ethics approval for research studies, writing informed consent forms and debriefing forms, and managing research data to ensure participant confidentiality.
From [INF-80-10-K-2] Web-based Introduction to Programming:
  • Basic concepts of computer science: computer structure (von Neumann architecture), system software, compiler/interpreter
  • Variables, data types, operators, expressions and commands (here Boolean algebra)
  • Control structures (branching, loops, procedures, privacy)
  • Arrays, strings (incl. string matching, regular expressions)
  • files, directories
  • Relational databases, their functionality and integration.
  • Basic database queries and manipulation (SQL-Basics)
From [SO-12-36.1000-K-5] Scientific Writing:
In this course, students will learn how to structure and write papers for scientific journals. Furthermore, essential qualities required in scientific writing, such as being clear, concise, convincing, fluid, interesting, and organized are thought and practiced. Exercises will enable students to assess their strengths and weaknesses in scientific writing.

Competencies / intended learning achievements

On successfully completing the module students will be able to,
  • develop an understanding of the design and analysis of experiments.
  • develop fundamental skills in computer programming and data analysis.
  • gain knowledge about the fundamentals of ethics and philosophy of science and their relevance to cognitive science research.
  • hone skills in scientific writing.

Requirements for attendance of the module (informal)

None

Requirements for attendance of the module (formal)

None

References to Module / Module Number [SO-04-2602-M-5]

Course of Study Section Choice/Obligation
[SO-88.A95-SG] M.Sc. Cognitive Science [Fundamentals] Basis Modules [P] Compulsory