To see a complete list of courses offered and their descriptions, visit the online course catalog. Please see the right toolbar for individual course websites.
The courses listed below are provided by the JHU Public Course Search. This listing provides a snapshot of immediately available courses and may not be complete. Course registration information can be found on the Student Information Services (SIS) website.
| Course # (Section) | Title | Day/Times | Instructor | Location | Term | Course Details |
|---|---|---|---|---|---|---|
| AS.250.205 (83) | Introduction to Computing | MTThF 1:00PM - 2:15PM | Procopio, Maria | Summer 2025 | This course is helpful for many disciplines, not only the life sciences. It will introduce students to basic computing concepts and tools useful in many applications. Students will learn to work in the Unix environment and write bash shell scripts. They will learn to program using Python and explore graphing, numerical analysis, and statistical computing libraries, such as NumPy, SciPy, pandas, and Matplotlib. The course will also include an introduction to Machine learning and will conclude with a Python project focused on data analysis. No previous programming knowledge is required. This course is designed for beginners. This online course provides pre-recorded lectures and notes to help students learn the material at their own pace. However, students are expected to meet weekly and daily class assignment deadlines. In addition, virtual office hours will be available for one-on-one help. Students are required to attend the three midterm exams synchronously. Flexibility will be provided to accommodate student schedules and time zones. | |
| AS.250.205 (01) | Introduction to Computing | MWF 10:00AM - 10:50AM | Damjanovic, Ana | UG Teaching Lab (UTL) G98 | Fall 2025 | This course is helpful for many disciplines, not only the life sciences. It will introduce students to basic computing concepts and tools useful in many applications. Students will learn to work in the Unix environment and write bash shell scripts. They will learn to program using Python and explore graphing, numerical analysis, and statistical computing libraries, such as NumPy, SciPy, pandas, and Matplotlib. The course will also include an introduction to Machine learning and will conclude with a Python project focused on data analysis. No previous programming knowledge is required. This course is designed for beginners. This online course provides pre-recorded lectures and notes to help students learn the material at their own pace. However, students are expected to meet weekly and daily class assignment deadlines. In addition, virtual office hours will be available for one-on-one help. Students are required to attend the three midterm exams synchronously. Flexibility will be provided to accommodate student schedules and time zones. |
| AS.250.205 (02) | Introduction to Computing | MWF 11:00AM - 11:50AM | Damjanovic, Ana | UG Teaching Lab (UTL) G98 | Fall 2025 | This course is helpful for many disciplines, not only the life sciences. It will introduce students to basic computing concepts and tools useful in many applications. Students will learn to work in the Unix environment and write bash shell scripts. They will learn to program using Python and explore graphing, numerical analysis, and statistical computing libraries, such as NumPy, SciPy, pandas, and Matplotlib. The course will also include an introduction to Machine learning and will conclude with a Python project focused on data analysis. No previous programming knowledge is required. This course is designed for beginners. This online course provides pre-recorded lectures and notes to help students learn the material at their own pace. However, students are expected to meet weekly and daily class assignment deadlines. In addition, virtual office hours will be available for one-on-one help. Students are required to attend the three midterm exams synchronously. Flexibility will be provided to accommodate student schedules and time zones. |
| AS.250.205 (03) | Introduction to Computing | MWF 9:00AM - 9:50AM | Damjanovic, Ana | UG Teaching Lab (UTL) G98 | Fall 2025 | This course is helpful for many disciplines, not only the life sciences. It will introduce students to basic computing concepts and tools useful in many applications. Students will learn to work in the Unix environment and write bash shell scripts. They will learn to program using Python and explore graphing, numerical analysis, and statistical computing libraries, such as NumPy, SciPy, pandas, and Matplotlib. The course will also include an introduction to Machine learning and will conclude with a Python project focused on data analysis. No previous programming knowledge is required. This course is designed for beginners. This online course provides pre-recorded lectures and notes to help students learn the material at their own pace. However, students are expected to meet weekly and daily class assignment deadlines. In addition, virtual office hours will be available for one-on-one help. Students are required to attend the three midterm exams synchronously. Flexibility will be provided to accommodate student schedules and time zones. |
| AS.250.205 (04) | Introduction to Computing | TTh 9:00AM - 10:15AM | Procopio, Maria | UG Teaching Lab (UTL) G98 | Fall 2025 | This course is helpful for many disciplines, not only the life sciences. It will introduce students to basic computing concepts and tools useful in many applications. Students will learn to work in the Unix environment and write bash shell scripts. They will learn to program using Python and explore graphing, numerical analysis, and statistical computing libraries, such as NumPy, SciPy, pandas, and Matplotlib. The course will also include an introduction to Machine learning and will conclude with a Python project focused on data analysis. No previous programming knowledge is required. This course is designed for beginners. This online course provides pre-recorded lectures and notes to help students learn the material at their own pace. However, students are expected to meet weekly and daily class assignment deadlines. In addition, virtual office hours will be available for one-on-one help. Students are required to attend the three midterm exams synchronously. Flexibility will be provided to accommodate student schedules and time zones. |
| AS.250.205 (05) | Introduction to Computing | TTh 12:00PM - 1:15PM | Procopio, Maria | UG Teaching Lab (UTL) G98 | Fall 2025 | This course is helpful for many disciplines, not only the life sciences. It will introduce students to basic computing concepts and tools useful in many applications. Students will learn to work in the Unix environment and write bash shell scripts. They will learn to program using Python and explore graphing, numerical analysis, and statistical computing libraries, such as NumPy, SciPy, pandas, and Matplotlib. The course will also include an introduction to Machine learning and will conclude with a Python project focused on data analysis. No previous programming knowledge is required. This course is designed for beginners. This online course provides pre-recorded lectures and notes to help students learn the material at their own pace. However, students are expected to meet weekly and daily class assignment deadlines. In addition, virtual office hours will be available for one-on-one help. Students are required to attend the three midterm exams synchronously. Flexibility will be provided to accommodate student schedules and time zones. |
| AS.250.205 (06) | Introduction to Computing | TTh 3:00PM - 4:15PM | Procopio, Maria | UG Teaching Lab (UTL) G98 | Fall 2025 | This course is helpful for many disciplines, not only the life sciences. It will introduce students to basic computing concepts and tools useful in many applications. Students will learn to work in the Unix environment and write bash shell scripts. They will learn to program using Python and explore graphing, numerical analysis, and statistical computing libraries, such as NumPy, SciPy, pandas, and Matplotlib. The course will also include an introduction to Machine learning and will conclude with a Python project focused on data analysis. No previous programming knowledge is required. This course is designed for beginners. This online course provides pre-recorded lectures and notes to help students learn the material at their own pace. However, students are expected to meet weekly and daily class assignment deadlines. In addition, virtual office hours will be available for one-on-one help. Students are required to attend the three midterm exams synchronously. Flexibility will be provided to accommodate student schedules and time zones. |
| AS.250.205 (07) | Introduction to Computing | TTh 3:00PM - 4:15PM | Staff | UG Teaching Lab (UTL) G98 | Fall 2025 | This course is helpful for many disciplines, not only the life sciences. It will introduce students to basic computing concepts and tools useful in many applications. Students will learn to work in the Unix environment and write bash shell scripts. They will learn to program using Python and explore graphing, numerical analysis, and statistical computing libraries, such as NumPy, SciPy, pandas, and Matplotlib. The course will also include an introduction to Machine learning and will conclude with a Python project focused on data analysis. No previous programming knowledge is required. This course is designed for beginners. This online course provides pre-recorded lectures and notes to help students learn the material at their own pace. However, students are expected to meet weekly and daily class assignment deadlines. In addition, virtual office hours will be available for one-on-one help. Students are required to attend the three midterm exams synchronously. Flexibility will be provided to accommodate student schedules and time zones. |
| AS.250.253 (01) | Protein Engineering and Biochemistry Lab | M 1:30PM - 5:30PM | Sorenson, Jaime | UG Teaching Lab (UTL) G96 | Fall 2025 | This laboratory examines the relationship between genes and proteins in the context of disease and evolution. It is a research project lab in which the structural and functional consequences of mutations are determined for a model protein. Students will learn basic protein science and standard biochemical techniques and methods in protein engineering. They will perform experiments in site-directed mutagenesis, protein purification, and structural, functional and physical characterization of proteins. No prerequisites. Courses offered in Fall and Spring semesters. |
| AS.250.253 (02) | Protein Engineering and Biochemistry Lab | T 1:30PM - 5:30PM | Sorenson, Jaime | UG Teaching Lab (UTL) G96 | Fall 2025 | This laboratory examines the relationship between genes and proteins in the context of disease and evolution. It is a research project lab in which the structural and functional consequences of mutations are determined for a model protein. Students will learn basic protein science and standard biochemical techniques and methods in protein engineering. They will perform experiments in site-directed mutagenesis, protein purification, and structural, functional and physical characterization of proteins. No prerequisites. Courses offered in Fall and Spring semesters. |
| AS.250.253 (05) | Protein Engineering and Biochemistry Lab | F 1:30PM - 5:30PM | Robinson, Aaron; Sorenson, Jaime | UG Teaching Lab (UTL) G96 | Fall 2025 | This laboratory examines the relationship between genes and proteins in the context of disease and evolution. It is a research project lab in which the structural and functional consequences of mutations are determined for a model protein. Students will learn basic protein science and standard biochemical techniques and methods in protein engineering. They will perform experiments in site-directed mutagenesis, protein purification, and structural, functional and physical characterization of proteins. No prerequisites. Courses offered in Fall and Spring semesters. |
| AS.250.253 (07) | Protein Engineering and Biochemistry Lab | T 6:00PM - 10:00PM | Robinson, Aaron; Sorenson, Jaime | UG Teaching Lab (UTL) G96 | Fall 2025 | This laboratory examines the relationship between genes and proteins in the context of disease and evolution. It is a research project lab in which the structural and functional consequences of mutations are determined for a model protein. Students will learn basic protein science and standard biochemical techniques and methods in protein engineering. They will perform experiments in site-directed mutagenesis, protein purification, and structural, functional and physical characterization of proteins. No prerequisites. Courses offered in Fall and Spring semesters. |
| AS.250.253 (08) | Protein Engineering and Biochemistry Lab | W 6:00PM - 10:00PM | Robinson, Aaron; Sorenson, Jaime | UG Teaching Lab (UTL) G96 | Fall 2025 | This laboratory examines the relationship between genes and proteins in the context of disease and evolution. It is a research project lab in which the structural and functional consequences of mutations are determined for a model protein. Students will learn basic protein science and standard biochemical techniques and methods in protein engineering. They will perform experiments in site-directed mutagenesis, protein purification, and structural, functional and physical characterization of proteins. No prerequisites. Courses offered in Fall and Spring semesters. |
| AS.250.253 (09) | Protein Engineering and Biochemistry Lab | Th 6:00PM - 10:00PM | Robinson, Aaron; Sorenson, Jaime | UG Teaching Lab (UTL) G96 | Fall 2025 | This laboratory examines the relationship between genes and proteins in the context of disease and evolution. It is a research project lab in which the structural and functional consequences of mutations are determined for a model protein. Students will learn basic protein science and standard biochemical techniques and methods in protein engineering. They will perform experiments in site-directed mutagenesis, protein purification, and structural, functional and physical characterization of proteins. No prerequisites. Courses offered in Fall and Spring semesters. |
| AS.250.315 (01) | Biochemistry I | MWF 10:00AM - 10:50AM | Barrick, Doug; Nikolova, Evgenia Nikolaevna | Fall 2025 | Foundation for advanced classes in Biophysics and other quantitative biological disciplines. This class is the first semester of a two semester course in biochemistry. Topics in Biochemistry I include chemical and physical properties of biomolecules and energetic principles of catabolic pathways. | |
| AS.250.351 (01) | Reproductive Physiology | T 3:00PM - 4:40PM | Zirkin, Barry R | Olin 305 | Fall 2025 | Focuses on reproductive physiology and biochemical and molecular regulation of the female and male reproductive tracts. Topics include the hypothalamus and pituitary, peptide and steroid hormone action, epididymis and male accessory sex organs, female reproductive tract, menstrual cycle, ovulation and gamete transport, fertilization and fertility enhancement, sexually transmitted diseases, and male and female contraceptive methods. Introductory lectures on each topic followed by research-oriented lectures and readings from current literature. |
| AS.250.383 (01) | Molecular Biophysics Laboratory | W 1:30PM - 5:30PM | Robinson, Aaron | UG Teaching Lab (UTL) G89 | Fall 2025 | An advanced inquiry based laboratory course covering experimental biophysical techniques to introduce fundamental physical principles governing the structure/function relationship of biological macromolecules. Students will investigate a “model protein”, staphylococcal nuclease, the “hydrogen atom” of biophysics. Using a vast library of variants, the effect of small changes in protein sequence will be explored. A variety of techniques will be used to probe the equilibrium thermodynamics and kinetic properties of this system; chromatography, spectroscopy (UV-Vis, fluorescence, circular dichroism, nuclear magnetic resonance), calorimetry, analytical centrifugation, X-ray crystallography, mass spectroscopy, and computational methods as needed for analysis. These methods coupled with perturbations to the molecular environment (ligands, co-solvents, and temperature) will help to elucidate protein function. Prerequisite: Introduction to Scientific Computing (250.205) or equivalent. Biophysical Chemistry (250.372 or 020.370) or equivalent. Course taught in Fall and Spring. |
| AS.250.383 (02) | Molecular Biophysics Laboratory | Th 1:30PM - 5:30PM | Robinson, Aaron | UG Teaching Lab (UTL) G89 | Fall 2025 | An advanced inquiry based laboratory course covering experimental biophysical techniques to introduce fundamental physical principles governing the structure/function relationship of biological macromolecules. Students will investigate a “model protein”, staphylococcal nuclease, the “hydrogen atom” of biophysics. Using a vast library of variants, the effect of small changes in protein sequence will be explored. A variety of techniques will be used to probe the equilibrium thermodynamics and kinetic properties of this system; chromatography, spectroscopy (UV-Vis, fluorescence, circular dichroism, nuclear magnetic resonance), calorimetry, analytical centrifugation, X-ray crystallography, mass spectroscopy, and computational methods as needed for analysis. These methods coupled with perturbations to the molecular environment (ligands, co-solvents, and temperature) will help to elucidate protein function. Prerequisite: Introduction to Scientific Computing (250.205) or equivalent. Biophysical Chemistry (250.372 or 020.370) or equivalent. Course taught in Fall and Spring. |
| AS.250.420 (01) | Advanced Seminar in Macromolecular Binding | TTh 10:30AM - 11:45AM | Fleming, Karen | Fall 2025 | All biological processes require the interactions of macromolecules with each other or with ligands that activate or inhibit their activities in a controlled manner. This is a literature and skills-based course that will discuss theoretical principles, logic, approaches and practical considerations used to study these binding processes from a quantitative perspective. Topics will include thermodynamics, single and multiple binding equilibria, linkage relationships, cooperativity, allostery, and macromolecular assembly. Some biophysical methods used in the study of binding reactions will be discussed. Simulation and analysis of binding scenarios will be used to analyze illustrate binding schemes, and examples from the scientific literature will be reviewed and discussed. Basic working knowledge of Python is helpful. The writing component will be in one of the common formats employed in the professional biophysics field. Recommended Course Background: AS.250.372 Biophysical Chemistry |