The Acquisition of Principles and Considerations in Gathering Data From People, With Emphasis On Considerations From The Point of View Of The Respondent, Including Cognitive Abilities and Limitations That Influence The Design of The Tasks and The Motivation to Provide Responses and Ethical Issues. Design Quality Checks For Data. The Course Covers Content From Psychology, Human Factors Engineering, Marketing, and Analysis of Big Data. Lerning Outcomes# At The End of The Course The Student Will# 1. Know Methods For Collecting Big Data From People 2. Understand The Limitations of Human Cognition in Providing Required Data 3. Know How to Choose a Target Audience to Avoid Bias in Data Collection. 4. Understand Ethical Issues in Data Collection.

Faculty: Data and Decision Sciences
|Undergraduate Studies |Graduate Studies
Pre-required courses

(94201 - Introductio to Data Science and 94423 - Introduction to Statistics) or (94423 - Introduction to Statistics and 94700 - Introduction to Data Science and Engin.) or (94424 - Statistics 1 and 94700 - Introduction to Data Science and Engin.) or 96411 - Machine Learning 1

Course with no extra credit (contained)

94140 - Introduction to Man-machine Systems 95618 - Human Performance

Semestrial Information

Weekly Hours

3.5 Academic Credit • 2 Lecture Hours • 1 Discussion Hours • 1 Lab Hours • 1 Project Hours

Responsible(s)

Liat Levontin


Registration Groups
11
Lecture Monday 13:30 - 15:30 נהול 216 | Liat Levontin
Exercise Monday 16:30 - 17:30 בלומפילד 152 | גב. אלקלעי קים נויה
12
Lecture Monday 13:30 - 15:30 נהול 216 | Liat Levontin
Exercise Tuesday 14:30 - 15:30 בלומפילד 152 | Avishai Mualem
13
Lecture Monday 13:30 - 15:30 נהול 216 | Liat Levontin
Exercise Monday 18:30 - 19:30 בלומפילד 152 | Atil Mansour
Weekly Hours

3.5 Academic Credit • 2 Lecture Hours • 1 Discussion Hours • 1 Lab Hours • 1 Project Hours

Responsible(s)

Liat Levontin


Exams
Session A: 15-02-2023 Session B: 15-03-2023
Registration Groups
11
Lecture Monday 10:30 - 12:30 נהול 216 | Liat Levontin
Exercise Monday 12:30 - 13:30 נהול 216 | גב. אלקלעי קים נויה
12
Lecture Monday 10:30 - 12:30 נהול 216 | Liat Levontin
Exercise Monday 13:30 - 14:30 נהול 112 | Bar Eini
Weekly Hours

3.5 Academic Credit • 2 Lecture Hours • 1 Discussion Hours • 1 Lab Hours • 1 Project Hours

Responsible(s)

Rakefet Ackerman


Exams
Session A: 21-02-2022 09:00 - 12:00
  • נהול 112.
  • בלומפילד 151. 152. 153. 424. 526. 527.
Session B: 15-03-2022 17:00 - 20:00
  • בלומפילד 152. 153. 424. 526. 527.
Session C: 05-04-2022 17:00 - 20:00
  • דיוויס 371. 373.

Registration Groups
11
Lecture Thursday 17:30 - 19:30 בלומפילד 100 | Rakefet Ackerman
Exercise Sunday 19:30 - 20:30 נהול 215 | Tirza Lauterman
12
Lecture Thursday 17:30 - 19:30 בלומפילד 100 | Rakefet Ackerman
Exercise Monday 18:30 - 19:30 נהול 216 | Bar Eini