Exercise Sheets & Tutorials: Collection of Questions Flashcards

1
Q

Name the Questions of the “4 Questions Model” discussed in the lecture

A
  • What is the problem?
  • Why do we need to solve this problem?
  • What is the solution?
  • How do we know that the solution solves the problem?
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2
Q

Name technologies that were predicted in “As we may think”

A
  • Personal Computer
  • Internet (Shared information network)
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3
Q

What represent “Memex” from “As we may think”

A

The desktop environment of the modern world

The vision of Memex consists of a desk in combination with translucent screens + keyboard and sets of buttons and levers

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4
Q

What described Mark Weiser in his work „The Computer for the 21st Century“ ?

A

The concept of Ubiquitous Computing

In the meaning of Ubiquitous Computing technologies are becoming small enough to be seamlessly integrated into our everyday life

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5
Q

What several ideas had Mark Weiser in his work „The Computer for the 21st Century“ which actually nowadays take place in our society ?

A
  • Tab (Smartphone)
  • Pads (Tablet Computer)
  • Board (interactive Whiteboard)

Also the connection between these different types of devices already exists nowadays

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6
Q

What describes “location and scale” by Weiser?

A

„Location“ means that computers must know where they are in order to adapt their behavior to the environment.

„Scale“ describes that Ubiquitous Computing comes in different sizes suited to a particular task.

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7
Q

Describe the interactive 3D Plattform “Unity” in terms of Environment, Rendering and Interactions (what characterizes the tool?)

A

Environment
▪ 3D Models
▪ Perspective Camera

Rendering
▪ Shading / Lighting
▪ Animations / Particle Systems
▪ Post-Processing

Interaction
▪ Physics
▪ Input System
▪ Events/Triggers
▪UI

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8
Q

Name examples for Unity-Components and describe what they are.

A

Components are the functional pieces of every GameObject

  • Transform
  • Box Collider
  • Scripts
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9
Q

Which 3D coordinate system uses unity?

A

Left Handed Coordinates

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10
Q

Which parts/functions of the unity lifecycle do you know?

A

Start()
FixedUpdate()
Update()
OnDisable() / OnDestroy()

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11
Q

Explain the important MonoBehaviour-Functions of Unity

A

Start()
is called when the GameObject turns on (only once)

Update()
is called once per frame (loop)
▪ Based on the FPS
▪ For Desktops usually capped at 60FPS
▪ For VR usually 90FPS or 120FPS

FixedUpdate()
is called every physics update (loop)
▪ Fixed frequency of updates independent of FPS
▪ Usually 50Hz by default (0.02s between updates)

OnDisable()/OnDestroy()
Are called at the end of an objects lifecycle before it is completely gone

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12
Q

Explain Rigidbody and Box Collider in Unity

A

Rigidbody:
A Rigidbody provides a physics-based way to control the movement and position of a GameObject

Box Collider:
For example useful to detect collisions and trigger events.

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13
Q

Give a bad and good hypothesis example for the following Research Question:

How does attendance to lectures impact exam results?

Describe what makes a good hypothesis.

A
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14
Q

Name a example for an correlation- and difference-hypothesis

A

Correlation:
The number of lectures attended by Master students has a positive effect on their exam scores.

Difference:
Master students who attended most lectures will have better exam scores than those who attended few lectures.

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15
Q

What should be randomized in a within-subject design and in a between-subject design?

A

within-subject design: order of conditions

between-subject design: allocation to groups

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16
Q

How can you systematically randomize in a within-subject design?

A

With Counterbalancing

Counterbalancing is the systematic variation of the order of conditions in a study.

17
Q

Give a example for an “If.. Then …” structured hypothesis regarding the following research question:

How does attendance to lectures impact exam results?

A

If a Master student starts attending more lectures, then their exam scores will improve.

18
Q

What is the meaning of the following symbols:
μ, σ2, x,

A

μ = true mean of the distribution
σ 2 = variance of the observations
x = value of the observation