Are you a student still looking for a science course?

Center for Mathematics and Artificial Intelligence (CMAI), Department of Mathematical Sciences, and BlackSky have jointly developed two new courses for Fall 2022:

MATH 462/MATH 662: Mathematics of Machine Learning with Industrial Applications I
MATH 463/MATH 663 Mathematics of Machine Learning with Industrial Applications II

Tuesdays, 7:20 to 10 p.m. in person and online
Instructor: Harbir Antil

What to Expect:

• These courses can be taken by undergraduates, graduate students and industry professionals.
• The courses will provide mathematical foundation of deep learning and hands-on experience on industry applications.
• Special emphasis is on the basics of optimization algorithms, stochastic optimization, and probability in the context of deep learning. These courses will incorporate modern tools such as Python or MATLAB. 

Certification: A certificate of completion will be provided by the CMAI upon successful completion of the courses listing the skills gained. 

Quantum computation/quantum information revolutionizes science and technologies with profound societal and economic impacts. Recent years have witnessed an unprecedented surge in commercial interest and federal research funding. Google, IBM, Intel, Microsoft, and many companies are heavily investing on quantum computing with increasing needs for workforce in related areas.

PHYS 334/534: Introduction to Quantum Computation and Quantum Information (3 credits)
MATH 493/689: Introduction to Quantum Computation and Quantum Information (3 credits)

Thursdays, 9 to 10:15 a.m., Exploratory Hall 1004
Instructor: Ming Tian

What to expect:

• This course is designed to get you started on quantum computing. We will cover quantum information and processing basics, as well as, important algorithmic protocols through lectures and hand-on projects.  By end of the course, you will able to  do research and learn further in-depth materials.

These courses are for both undergraduate students and graduates seeking a capstone experience. 

GEOL 392: Geology and Earth Science Seminar (1 credit)
GEOL 792: CAPSTONE: Seminar in Earth Systems Science, Geology and Earth Science (1 credit)

Thursdays, 4:30 to 5:45 p.m., 1309 Exploratory Hall with Zoom option
Instructor: Linda Hinnov

What to expect:

• GEOL 392 is an undergraduate experience that includes discussion of scientific articles and attending seminars presented by outside experts, faculty, or students. May be repeated within the degree for a maximum 4 credits.
• GEOL 792 is a capstone experience that includes discussion of scientific articles and attending seminars. Seminars presented by outside experts, faculty, and students. May be repeated within the degree for a maximum 12 credits.

From scientific concepts to ethics and professional development.

BIMR 480 Gateway to a medical career
Instructors: Alessandra Luchini and Lance Liotta

What to expect:

• There are hundreds of jobs in the healthcare sector. This class will expose students to career paths in many types of health related job topics ranging from emergency medicine, oncology, dentistry, genetic counseling, epidemiology, biomedical research, biopharmaceutical and biotechnology industry, and diagnostics. Knowledge acquired in previous chemistry and biology classes will be contextualized in relation to human diseases.  The curriculum will employ a system approach to physiology and pathology of human diseases, with emphasis on cancer biology. This class will host professionals in health to serve as role model for students.