Mon to Fri 10:30 AM - 11:20 AM at Skilling Auditorium
This course will introduce fundamental statistical concepts and principles for engineers and physical scientists. An approximate list of course topics (subject to change; as time permits): Exploratory Data Analysis, Basic Probability Theory, Discrete and Continuous Random Variables, Joint Distribution and Covariance, Basic Statistical Inference, Statistical Model Building via Goodness-of-fit, Regression, Correlation, Two-sample problem, K-sample problem.
The prerequisite is one year of calculus.
The objectives of this course are:
- Apply critical thinking to statistical problems.
- Use acquired statistics tool to design effective algorithms for data science.
- To get some hands-on experience in computing with data.
- (primary) Statistics for Engineers and Scientists (4th edition) by William C. Navidi.
- From Algorithms to Z-Scores: Probabilistic and Statistical Modeling in Computer Science, by Norm Matloff. available online.
Office: Sequoia 207
Office Hour: Monday 5-7pm
We’ll be using Piazza (piazza.com/stanford/summer2019/stat110) as our online forum. Piazza is your main venue to ask questions, discuss problems, and help each other out. ALL announcements will be posted there including regular updates on useful material relating to the course. It should always be your first recourse for seeking answers to your questions about the course, lecture or reading material, or the assignments.
- Homework: 25%
- Class participation (in-class + piazza): 10%
- Midterm: 30%
- Final exam: 35%
There will be no makeup exams. Attendance is expected, except for those enrolled in the 110U offering, or via SCPD. Each student is responsible for all materials covered or assignments made in any class they have missed.
Students are bound by the Stanford Honor Code. It is an honor code violation to: give or receive unpermitted aid on quizzes or exams; seek or use homework or exam solutions from previous years; be aware of other students violation of honor code without reporting it. Violation of the honor code will result in a failing grade among other penalties.