Lecture 1 - Study guides, Class notes & Summaries
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Summary of all readings | Advertising and Communication | MSc Marketing Management | EUR Elective | Including lecture notes
- Summary • 31 pages • 2024
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This summary includes all obligatory course materials: 
- Full textbook Persuasive Advertising by Scott Armstrong 
- Chapters 5, 6 and 8 from Marketing Communications: A European Perspective by Pelsmacker 
- Chapters 1, 2, 4, 6 and 7 from Effective Advertising: Understanding When, How, and Why Advertising Works by Tellis 
- Articles from Goldenberg 
 
This summary also includes the most important lecture notes. 
Notes from the guest lecture are NOT included. 
 
Good luck with the exam! :)
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Summary Customer Analytics
- Summary • 26 pages • 2023
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Summary of Module 1 - Module 5 of Customer Analytics 2023/2024 of the lecture slides, theory in the labs and some additional explanations.
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Mark Klimek Nclexgold - Lecture notes 1-12
- Class notes • 115 pages • 2023
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Mark Klimek Nclexgold - Lecture notes 1-12
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Complete Summary Articles and Lectures Loss & Psychotrauma UU
- Summary • 81 pages • 2024
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This is a summary of the lectures and articles of the course Loss & Psychotrauma (Msc Clinical Psychology UU). 
 
It consists the following articles and lectures: 
Lecture: Introduction to the course / general introduction on loss & Psychotrauma				 
Marjolein Missler & Mirjam van Zuiden 
Article: Disturbed grief: PGD and PCBD (Boelen & Smid, 2017)						 
Article: The health consequences of bereavement (Stroebe, 2007)					 
Article: Treatment of PTSD: a state-of-art Review article ...
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Data Mining for Business & Governance (880662-M-6)
- Summary • 60 pages • 2023
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Grade: 9.0. Extensive summary for the course Data Mining for Business and Governance. The summary contains the content of all lectures and tutorials (the theory, not the coding), including additional notes, examples and explanations. I also incorporated parts of the relevant chapters of the following books (in the form of supplementing the lecture content): (1) Data mining: concepts and techniques (3rd edition) by Jiawei Han, Micheline Kamber, Jian Pei (H-Book), (2) Data Mining: The Textbook by ...
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Mark Klimek Nclexgold - Lecture notes 1-12 All Sections and Chapters Involved Latest Version Completed 2023-2024 with All Questions and 100% Correct Ans
- Exam (elaborations) • 114 pages • 2023
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Mark Klimek Nclexgold - Lecture notes 1-12 
All Sections and Chapters Involved Latest 
Version Completed 2023-2024 with All 
Questions and 100% Correct Ans
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Using the evidence discussed in the module, provide an argument supporting an INTERACTIVE view of the human brain and mind.
- Exam (elaborations) • 13 pages • 2023
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Available in package deal
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This module comprises the following three lecture blocks: 
1. Modularity and Embodied Cognition (Larry) 
2. Concepts and Cognitive Processes (Andriy) 
3. Neuropsychology and Neuroscience (Leigh) 
This assignment requires you to write a single essay with the main goal of demonstrating your ability 
to discuss common themes and topics across the individual lecture blocks. As such, its main focus 
is on your ability to (1) understand theoretical aspects common in all three lecture blocks, (2) ide...
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Psychological interventions for complex problems: Lectures & Articles
- Summary • 117 pages • 2023
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Psychological interventions for complex problems: Lectures & Articles 
 
WEEK 1 
- LECTURE 1: Introduction 
- LECTURE 2: Schema Therapy (Part 1: Background and Theory) 
ARTICLES: 
- Schema Therapy - Arntz (2018) 
- Towards a Reformulated Theory Underlying Schema Therapy: Position Paper of an International Workgroup - Arntz (2021) 
 
WEEK 2: 
- LECTURE 3: Inference Based Approach for OCD 
- LECTURE 4: Schema Therapy (Part 2: Application) 
ARTICLES: 
- The Inference-Based Approach to Obsessive...
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Summary endterm | Lecture 1-6 | RDS 2024 | Responsible Data Science (INFOB3RDS)
- Summary • 8 pages • 2024
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This summary contains everything from the lectures that you need to know for the endterm exam of RDS. It is made specifically for RDS in 2024. For the summary, I have used my own lecture notes and the lecture slides.
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