Basic Information
This Course Includes Methods of Statistical Design and Experiments (doe). Design of Efficient Experiments, Correctly Analyzing Results, Presenting Them in a Clear Fashion. Both Industrial and Academic Experiments. Subjects Include# Two Level Full and Fractional Factorial Designs, Choice of Factors, Response Surface Design, Models For Data With Special Structure, Split Plot Designs, Robust Design, Randomized Block Designs. Use of The Statistical Software Jmp to Plan And Run Real Experiments As Projects and Do Classroom Active Learning Exercieses. Learning Outcomes# at The End of The Course The Studetns Will Be Able To# 1. Choose an Experimental Design That Is Appropriate For a Particular Situation 2. Analyze a Single Experiment. 3. Analyze a Series of Experiments. 4. Present Experimental Results Both Textually and Graphically. 5. Build and Compare Designs Using Statistical Software. 6. Execute Statistical Tests and Build Models Using Statistical Software.
Faculty: Data and Decision Sciences
|Graduate Studies
Pre-required courses
46010 - Statistical Inference or 94423 - Introduction to Statistics or 94424 - Statistics 1 or 94481 - Int.to Probability and Statistics
Semestrial Information
Weekly Hours
2.5 Academic Credit • 2 Lecture Hours • 1 Discussion Hours
Responsible(s)
Jacqueline Asscher
Notes
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הקורס יועבר על-ידי בי"ס בינלאומי.
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ינתן בשפה האנגלית.
Registration Groups
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Weekly Hours
2.5 Academic Credit • 2 Lecture Hours • 1 Discussion Hours
Responsible(s)
Jacqueline Asscher
Registration Groups
|
|
Weekly Hours
2.5 Academic Credit • 2 Lecture Hours • 1 Discussion Hours
Responsible(s)
Jacqueline Asscher
Notes
-
הקורס יועבר באנגלית לבי"ס הבינלאומי בלבד.
Registration Groups
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