BIOEE 1760 Biostatistics with R programming language
Course description
This course in Biostatistics uses the R programming language as a platform for analysis. Students will be introduced to different types of statistical analysis while becoming comfortable writing basic code in the R programming language. Topics will include: descriptive statistics, inference, experimental design and hypothesis testing; assumptions behind statistical models and choice of statistical tests; analysis of variance and covariance; general linear models and interactions; regression; and parametric and non-parametric tests, bootstrapping, and permutation testing. No prior statistical or programming experience is required.
Outcome 1: Explain, evaluate and effectively interpret factual claims, theories and assumptions in the student’s discipline(s).
Outcome 2: Integrate quantitative and qualitative information to reach defensible and creative conclusions.
Outcome 3: Demonstrate the capability to work both independently and in cooperation with others.
Forbidden Overlap: due to an overlap in content, students will receive credit for only one course in the following group: AEM 2100, ENGRD 2700, ILRST 2100, ILRST 5100, STSCI 2100.
Summer 2025: Online course
| Section ID: | BIOEE 1760 001-LEC |
| Number: | 1325 |
| Topic: | Biostatistics with R programming language |
| Session: | Summer 6-week |
| Class dates: | June 23-August 1, 2025 |
| Mode of instruction: | Online (async) |
| Final exam/project due: | Tuesday August 05, 11:59 PM (see Final exams) |
| Credit: | 3 |
| Instructor: | TBA |
| Related: | BIOEE 1760 201-DIS |
| To enroll: |
See Online Learning FAQs. This course is open to all registrants, including undergraduates and precollege students. |
Summer 2025: Online course
| Section ID: | BIOEE 1760 201-DIS |
| Number: | 1326 |
| Topic: | Biostatistics with R programming language |
| Session: | Summer 6-week |
| Class dates: | June 23-August 1, 2025 |
| Mode of instruction: | Online (async) |
| Final exam/project due: | (see Final exams) |
| Credit: | 0 |
| Grade: | Graded (no audit) |
| Instructor: | TBA |
| Max. enroll: | 20 |
| Related: | You will be auto-enrolled in BIOEE 1760 001-LEC |
| To enroll: | See Register and Dates & Deadlines for enrollment information. See Online Learning FAQs. This course is open to all registrants, including undergraduates and precollege students. |