ANCIENT-HEALTH & MEDICINE

Topics course: This course introduces students to the history of the culture and history of the ancient Mediterranean world through the lens provided by Greek and Roman medical writers. The Greek Enlightenment in the sixth century B.C. ushered in a "scientific" approach to healing that continued to evolve throughout antiquity even as traditional methods retained their importance.

INTRO/PROBABILITY/STATISTICS

(Formerly MTH/SDS 220). An application-oriented introduction to modern statistical inference: study design, descriptive statistics; random variables; probability and sampling distributions; point and interval estimates; hypothesis tests, resampling procedures and multiple regression. A wide variety of applications from the natural and social sciences are used. Classes meet for lecture/discussion and for a required laboratory that emphasizes analysis of real data. SDS 220 satisfies the basic requirement for biological science, engineering, environmental science, neuroscience and psychology.

INTRO/PROBABILITY/STATISTICS

(Formerly MTH/SDS 220). An application-oriented introduction to modern statistical inference: study design, descriptive statistics; random variables; probability and sampling distributions; point and interval estimates; hypothesis tests, resampling procedures and multiple regression. A wide variety of applications from the natural and social sciences are used. Classes meet for lecture/discussion and for a required laboratory that emphasizes analysis of real data. SDS 220 satisfies the basic requirement for biological science, engineering, environmental science, neuroscience and psychology.

INTRO/PROBABILITY/STATISTICS

(Formerly MTH/SDS 220). An application-oriented introduction to modern statistical inference: study design, descriptive statistics; random variables; probability and sampling distributions; point and interval estimates; hypothesis tests, resampling procedures and multiple regression. A wide variety of applications from the natural and social sciences are used. Classes meet for lecture/discussion and for a required laboratory that emphasizes analysis of real data. SDS 220 satisfies the basic requirement for biological science, engineering, environmental science, neuroscience and psychology.

INTRO TO DATA SCIENCES

An introduction to data science using Python, R and SQL. Students learn how to scrape, process and clean data from the web; manipulate data in a variety of formats; contextualize variation in data; construct point and interval estimates using resampling techniques; visualize multidimensional data; design accurate, clear and appropriate data graphics; create data maps and perform basic spatial analysis; and query large relational databases. No prerequisites, but a willingness to write code is necessary.

TOPICS- BLACK ARCHIVE

Topics course: Why has the construction of archives that center on the experiences of people of African descent been so critical to black political, cultural, and social life? What do black archives look like and what do they offer us? How do they expand the way we consider archives in general? This course seeks to address these questions by examining the conception and development of black archives, primarily, although not exclusively, as they arose in the United States across the twentieth century. Enrollment limited to 20.

RESRCH:BIODIVERSTY/ECOL/CONSRV

Pull on your boots and come explore local habitats that may include the Mill River, MacLeish Field Station, Smith campus Botanic Gardens, and local hemlock forests. Students will gain experience with a diversity of organisms by conducting research projects that can enhance their understanding of ecology and conservation. Students will practice the scientific process and document their work in a lab notebook. Research skills developed will include hypothesis development, data collection, statistical analysis, and presentation of results.

MICROPROCESSOR & ASSEMBLY LANG

An introduction to the architecture of the Intel Pentium class processor and its assembly language in the Linux environment. Students write programs in assembly and explore the architectural features of the Pentium, including its use of the memory, the data formats used to represent information, the implementation of high-level language constructs, integer and floating-point arithmetic, and how the processor deals with I/O devices and interrupts. Prerequisite: 212 or permission of the instructor.
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