OpenILIAS Uni Göttingen
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IT in a Nutshell. Online course on IT.
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Welcome
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Chapter 1: Basic Concepts and Principles
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Learning Objectives (1/15)
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Computers are tools (2/15)
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What is computer science? (3/15)
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Information technology and digitisation (4/15)
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Peter and Toni (5/15)
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Effects of digitisation on research? (6/15)
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Concept of information (7/15)
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Information is man-made (8/15)
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Data - Information - Knowledge (9/15)
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Analog and digital (10/15)
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Quiz "Analogue and Digital" (11/15)
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Digital and digitised (12/15)
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Support and trouble shooting (13/15)
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Quiz "Data - Information - Knowledge" (14/15)
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Review of the learning objectives (15/15)
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Chapter 2: Data Management
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Learning Objectives (1/20)
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Data Literacy (2/20)
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What is data? (3/20)
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Research data (4/20)
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Types of data (5/20)
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Numeric and alphanumeric data (6/20)
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What is a file? (7/20)
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Data formats (8/20)
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What is a database? (9/20)
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What is a data set? (10/20)
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Relational databases (11/20)
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Building a relational database (12/20)
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Key attributes (13/20)
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Quiz: Terms in databases (14/20)
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Requirements for a database (15/20)
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What does a database management system do? (16/20)
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Entity Relationship Model (17/20)
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Cardinality (18/20)
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Quiz: Databases (19/20)
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Review of the Learning Objectives (20/20)
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Chapter 3: Data Backup and Publication
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Chapter 4: Computational Thinking
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Learning Objectives (1/16)
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What is computational thinking? (2/16)
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Computers are dull but helpful (3/16)
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Folding algorithm (4/16)
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The meaning of algorithms (5/16)
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What is an algorithm? (6/16)
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Properties of algorithms (7/16)
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What is a specification? (8/16)
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Why are specifications important? (9/16)
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Divide and conquer (10/16)
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Search algorithm (11/16)
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What are sequences? (12/16)
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This works automatically (13/16)
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Quiz: Following an algorithm (14/16)
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What does an algorithm look like? (15/16)
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Review of the Learning Objectives (16/16)
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Chapter 5: Computer Programmes
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Learning objectives (1/11)
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What is a programming language? (2/11)
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Rules and Syntax (3/11)
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Turing machine (4/11)
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Prominent Programmers (5/11)
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Learning to program (6/11)
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Software Development Life Cycle (7/11)
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Open Source (8/11)
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What is machine learning? (9/11)
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Quiz: Programming languages (10/11)
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Review of the Learning Objectives (11/11)
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Chapter 6: Data Protection and Data Ethics
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Learning objectives (1/17)
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Ethical and moral boundaries (2/17)
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Digitisation and Society (3/17)
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Data as goods (4/17)
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Personal data (5/17)
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eHealth (6/17)
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Data protection (7/17)
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Surveillance state and open government (8/17)
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Discrimination and bias (9/17)
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Ethical guidelines for AI (10/17)
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Internet of things (11/17)
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Robot ethics / Machine ethics (12/17)
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Ecological consequences (13/17)
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Fairphone and e-waste (14/17)
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Groups and initiatives (15/17)
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Review of the Learning Objectives (16/17)
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What next? (17/17)
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References
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Final Test
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