We have the following certificate programs under Biomedical Science:

Must already have an SAC.

BIMS 1 + BIMS 2 + 2 electrives + 2 research projects.

Suggested Electives: ARCH 1 Introduction to Archaeology, BOT 1 Introduction to Botany, CMB 1 Introduction to Cell and Molecular Biology, CHEM 1 Chemistry, CS 1 Introduction to Computer Science, ECT 1 Introduction to Electronics, ESCI 1 Introduction to Engineering Science, ENVS 1 Introduction to Environmental Science, FRS 1 Introduction to Forensic Science, MATH 1 Mathematics, MICR 1 Introduction to Microbiology, PHYS 1 Physics, or ZOO 1 Introduction to Zoology.

Lesson 1: Human biochemistry. Lesson 2: Human cell biology. Lesson 3: Human genetics. Lesson 4: Human tissues. Lesson 5: Human organ systems. Lesson 6: Human physiology. Lesson 7: Human diseases. Lesson 8: Control of human diseases. Lesson 9: Cognitive processes. Lesson 10: Medical science.

Lesson 1: The laboratory. Lesson 2: Laboratory safety. Lesson 3: Laboratory techniques. Lesson 4: Biomedical instruments. Lesson 5: Photography and digital photography. Lesson 6: Data acquisition. Lesson 7: Data analysis. Lesson 8: Error analysis. Lesson 9: Biomedical modeling. Lesson 10: Biomedical data on the Internet.

Lesson 1: Vector algebra. Lesson 2: Vector analysis. Lesson 3: Curvilinear coordinates. Lesson 4: Tensor analysis. Lesson 5: Infinite series. Lesson 6: Fourier analysis. Lesson 7: Complex analysis. Lesson 8: Differential equations. Lesson 9: Orthogonality. Lesson 10: Special functions.

Lesson 1: Review of Mathematica. Lesson 2: Numbers in Mathematica. Lesson 3: Algebra in Mathematica. Lesson 4: Calculus in Mathematica. Lesson 5: Differential Equations. Lesson 6: Transform techniques. Lesson 7: List processing. Lesson 8: Graphical processing. Lesson 9: Statistics. Lesson 10: Mathematica programming techniques.

Lesson 1: Review of biochemistry. Lesson 2: Amino acids and proteins. Lesson 3: Carbohydrates. Lesson 4: Lipids and fats. Lesson 5: Nucleic acids. Lesson 6: Bioenergetics. Lesson 7: Metabolic pathways. Lesson 8: Enzymes. Lesson 9: Biosynthesis. Lesson 10: Transcription and translation.

Lesson 1: Review of cell biology. Lesson 2: Microscopy. Lesson 3: Internal cell structure. Lesson 4: Other techniques for studying cells. Lesson 5: Cell processes. Lesson 6: Cell division. Lesson 7: The lipid bilayer. Lesson 8: Cell differentiation. Lesson 9: Cell diversity. Lesson 10: Cell cultures.

Lesson 1: Review of genetics. Lesson 2: Inheritance. Lesson 3: Mendel's laws. Lesson 4: Chromosomes. Lesson 5: Gene function. Lesson 6: DNA. Lesson 7: Gene structure. Lesson 8: The genetic code. Lesson 9: Gene regulation. Lesson 10: DNA manipulation.

Lesson 1: Review of data acquisition. Lesson 2: Sensors. Lesson 3: Signals. Lesson 4: Digital aqcuisition equipment. Lesson 5: Analog electronics. Lesson 6: Digital electronics. Lesson 7: Digital acquisition software. Lesson 8: Performance characteristics. Lesson 9: Measurement error. Lesson 10: Calibration.

Lesson 1: Review of data analysis. Lesson 2: Error analysis. Lesson 3: Propagation of error. Lesson 5: Statistical analysis of error. Lesson 6: The normal distribution. Lesson 7: Other probability distributions. Lesson 8: Parameter estimation. Lesson 9: Statistical plots. Lesson 10: Fitting data to a curve.

Lesson 1: Transducers. Lesson 2: Ultrasonic devices. Lesson 3: Signal processing. Lesson 4: Op-amps. Lesson 5: Analog filters. Lesson 6: Microprocessors. Lesson 7: Telemetry. Lesson 8: Phase-locked loops. Lesson 9: Fiber optics. Lesson 10: Medical imaging.

Human Physiology

Human Diseases

Cognitive Processes

Medical Science

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