MCBS Required and Elective Courses
MCBS Required and Elective Courses
Required Courses
Core MBCS
- BB 570 – Biophysics of cellular processes and molecular function (3 credits)
- BB 582 – Survey and applications of modern biophysical experimental techniques (3 credits)
- BB 683 – Molecular biophysics of complex systems (3 credits)
- BB 699 – Grant proposal and manuscript writing (e.g., prep. for NIH F31 submission) (2 credits)
- ST 511 – Methods of data analysis (3 credits)
Rigor and Reproducibility
- GRAD 520 – Research ethics, misconduct, peer review, mentoring (2 credits)
- GRAD 521 – Research data management: Preservation, documentation and sharing (2 credits)
Cohort-building
- BB 607A – MBCS recent advances in molecular biophysics journal club (taken every year) (1 credit)
- BB 607B – MBCS faculty and invited speaker seminars (taken every year) (1 credit)
- BB 607C – MBCS student research presentations (taken every year) (1 credit)
Elective Courses
Biochemistry and Molecular Biology
- BB 590 – Biochemistry I: Building blocks of life, protein folding, enzyme kinetics (3 credits)
- BB 591 – Biochemistry II: Regulation pathways, synthesis and metabolism, energetics (3 credits)
- BB 592 – Biochemistry III: Genetics, nucleic acids (DNA/RNA synthesis, processing, repair), protein synthesis and modification (3 credits)
- BB 586 – Advanced molecular genetics and cell biology with focus on modern techniques (3 credits)
Biophysical Methods
- BB 581 – Macromolecular structure of proteins, nucleic acids, and other molecules (3 credits)
- BB 583 – Advanced biochemistry and biophysics capstone (3 credits)
- CH 652 – Molecular spectroscopy (3 credits)
- SCI 551X – Introduction to nuclear magnetic resonance (NMR) theory (2 credits)
- SCI 552X – Applications of NMR to biological macromolecules (3 credits)
Mathematical and Computational Modeling
- BB 585 – Applied bioinformatics, genome and functional annotations, sequence alignment (3 credits)
- BB 599 – Molecular modeling and computer simulation (3 credits)
- BDS 570 – Introduction to computing in the life sciences (3 credits)
- BDS 572 – Advanced computing for biological data analysis (3 credits)
- CH 553 – Statistical thermodynamics of chemical systems (3 credits)
- MB 668 – Microbial bioinformatics and genome evolution (3 credits)
- MTH 527 – Mathematical modeling of biological systems (3 credits)
- PH 591 – Physical principles of kinetics and dynamics of biological systems (3 credits)
- ST 591 – Introduction to quantitative genomics (3 credits)
- ST 592 – Statistical methods for genomics research (3 credits)