Probability and statistics for materials science
MSE-213
This file is part of the content downloaded from Probability and statistics for materials science.
- Announcements (Forum)
- Liste des Traductions (URL)
- ExamRules (File)
- StatTables (will be provided in exam) (File)
- PythonCheatSheet (File)
- StatExam 2022 - note the curriculum has changed (File)
- StatExam 2022 solution (File)
- StatExam 2021 - note the curriculum has changed (File)
- StatExam 2021 solution (File)
- Exam 2024 (File)
- Exam 2024 - solutions (File)
- MSE213 LectureNotes v25-1 (File)
- Python Installation Instructions (File)
- Exercise1-2025 (File)
- Lecture0-introduction-slides-2025 (File)
- PythonExercise1 (File)
- Lecture1-notes-2025 (File)
- Exercise1-2025-solution (File)
- PythonExercise2 (File)
- PythonExercise2 solutions (File)
- Exercise2 (File)
- Lecture2-notes-2025 (File)
- Lecture2-slides-2025 (File)
- Exercise2 Solutions (File)
- PythonExercise3 (File)
- Exercise3-2025 (File)
- Lecture3-slides-2025 (File)
- Lecture3-notes-2025 (File)
- Exercise3-2025-solution (File)
- Exercise4-2025 (File)
- PythonExercise4 (File)
- Blackboard pictures (Folder)
- CentralLimitTheorem(2) (File)
- Exercise4-2025-solution (File)
- Exercise5-2025 (File)
- Exercise Set 5 - Solution (File)
- PythonExercise5 (File)
- PythonExercise5 solution (File)
- Blackboard Pictures Lecture 5 (Folder)
- EstimatorBias (File)
- Exercise6-2025 (File)
- Exercise Set 6 - Solution (File)
- Python Exercise Week 6 (File)
- Python Exercise Week 6 - Solution (File)
- Lecture 6 - Blackboard notes (Folder)
- Exercise7-2025 (File)
- Exercise Set 7 - solution (File)
- Lecture7-slides-2025 (File)
- Lecture7-notes-2025-preliminary (File)
- heights (File)
- Python Practice 7 (File)
- Lecture 7 - blackboard notes (Folder)
- Python Practice 7 solutions (File)
- Chi2Table (File)
- Exercise Set 8 (File)
- Exercise 8 - Solution (File)
- Python Exercise 8 (Folder)
- Week 8 Python Exercise - Solution (File)
- Lecture 8 - blackboard notes (Folder)
- Lecture8-notes-2025-preliminary (File)
- Lecture8-slides-2025 (File)
- StatTables (File)
- Exercise Set 9 (File)
- Trading Data DAX (File)
- Radiation KKW Goesgen (File)
- Python Practice 9 (Folder)
- Lecture 9 - Blackboard Notes (Folder)
- Exercise9-2025-solution-final (File)
- Exercise Set 10 (File)
- Exercise Set 10 - Solution (File)
- Week10 PythonExercises blank (File)
- data (File)
- Week 10 Python Exercise (File)
- Lecture10-slides-2025 (File)
- Lecture 10 - blackboard notes (Folder)
- Lecture10-notes-2025-preliminary (File)
- Exercise 11 (File)
- Python Practice 11 (Folder)
- Lecture 11 - blackboard notes - NOTE the exercise had a mistake (dividing by 400 instead of 180 which is SS_E,Full. Corrected now (Folder)
- Exercise11-2025-solution-preliminary (File)
- Lecture11-slides-2025 (File)
- Exercise Set 12 (File)
- Week12 Python Exercise (File)
- Data Week12 (File)
- Week12 PythonExercise solution (File)
- Lecture12-slides-2025 (File)
- Lecture12-HeightVersusAgeAndBirthyear (File)
- Lecture 12- blackboard notes (Folder)
- Exercise12-solution. NB 32 are the correct degrees of freedom for the 2-factor ANOVA we use (File)
- Exercise13-2025 (File)
- Python Practice 13 (File)
- Lecture 13 - Blackboard pictures (Folder)
- Exercise13-2025-solution (File)
- Python Practice 13 - Solutions (File)
- Exercise14-2025 (File)
- Lecture 14 - blackboard pictures (Folder)
- Time/date for exam revision meeting (Choice)
- Exercise14-2025-solution (File)