The Course Discusses a Variety of Industrial Engineering Methods. The Course Will Teach# Systematic Analysis of Process and Their Presentation, Work Measurement, Lean, Six Sigma, Agile Software Development, Ergonomics and Product Design Principles. Focus Will Be Given to Applying Various Advanced Methods Including Automatic Data Collection Using Sensors and Data Analysis Using Machine Learning Algorithms.

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

(94423 - Introduction to Statistics and 114051 - Physics 1) or (94424 - Statistics 1 and 114051 - Physics 1)

Semestrial Information

Weekly Hours

3.5 Academic Credit • 3 Lecture Hours • 1 Discussion Hours

Responsible(s)

Shlomi Laufer


Exams
Session A: 08-05-2024 09:00 - 12:00
  • בלומפילד 151. 152.
Session B: 30-05-2024 17:00 - 20:00
  • בלומפילד 152. 153. 526.

Registration Groups
11
Lecture Wednesday 14:30 - 17:30 בלומפילד 424 | Shlomi Laufer
Exercise Wednesday 17:30 - 18:30 בלומפילד 424 | Lama Wattad
Weekly Hours

3.5 Academic Credit • 3 Lecture Hours • 1 Discussion Hours

Responsible(s)

Shlomi Laufer


Exams
Session A: 03-02-2023 Session B: 28-02-2023
Registration Groups
11
Lecture Thursday 12:30 - 15:30 דייויס 250 | Shlomi Laufer
Exercise Monday 15:30 - 16:30 בלומפילד 151 | Lama Wattad
Weekly Hours

3.5 Academic Credit • 3 Lecture Hours • 1 Discussion Hours


Exams
Session A: 04-02-2022 09:00 - 12:00
  • בלומפילד 151. 153. 424.
Session B: 11-03-2022 09:00 - 12:00
  • בלומפילד 151. 153.
Session C: 01-04-2022 09:00 - 12:00
  • נהול 214.

Registration Groups
11
Lecture Thursday 13:30 - 16:30 בלומפילד 527 | Shlomi Laufer
Exercise Thursday 16:30 - 17:30 בלומפילד 153 | Lama Wattad