S-Asian Am Feminisms colloq
How can students connect classroom learning to ?real world? concerns? The honors enrichment for this course will provide students opportunities for publicly engaged research and advocacy connected to Asian American feminist issues, and race, gender, sexuality and immigration more broadly. Students will work on drafting op-eds, policy briefs, grants, creative writing and/or other artistic projects that connect course work to current issues, communities and organizations.
Non-Fiction I
How can we re-imagine ourselves and the world through our deeply felt personal questions? This course will focus on using personal non-fiction narratives to consider larger themes of politics, history, current events, and our ever-changing social reality. The course welcomes beginning writers who want to learn how to write more creatively without limiting censors and unnecessary judgment. The class will function as a cooperative workshop to help all write more fluently and with greater joy.
Sam D Nelson
Primary Title:
Systems Engineer 2 - CICS
Institution:
UMASS Amherst
Department:
College of Info & Computer Sciences
Email Address:
sdnelson@umass.edu
Telephone:
413-545-4231
Office Building:
Computer Science Research Ctr
Virginia McLaurin
Primary Title:
Asst Dir Human ReschProtection
Institution:
UMASS Amherst
Department:
Research Compliance
Email Address:
vmclauri@umass.edu
Telephone:
413-577-2856
Office Building:
400 Venture Way
General Physics I
Kinematics, vectors and scalars, Newton's laws of motion, work and energy, impulse and momentum. Conservation laws. Collisions, oscillations, rotational dynamics, waves and sound, fluids, with Lab. Use of calculus in physics; problem-solving methods. Co-requisite: MATH 131. (GenEd. PS)
INTRO TO DISABILITY STUDIES
This course serves as an introductory exploration of the field of disability studies. It asks: how do we define disability? Who is disabled? And what resources do we need to properly study disability? Together, students investigate: trends in disability activism, histories of medicine and science, conceptions of “normal” embodiment, the utility of terms like “crip” or "disabled” and the representation of disability in culture. Enrollment limit of 20.
TOPCS: ADV PROGRAMMING
Topics in statistics and data science. Statistical methods for analyzing data must be chosen appropriately based on the type and structure of the data being analyzed. The particular methods and types of data studied this in this course vary, but topics may include: categorical data analysis, time series analysis, survival analysis, structural equation modeling, survey methodology, Bayesian methods, resampling methods, spatial statistics, missing data methods, advanced linear models, statistical/machine learning, network science, relational databases, web scraping and text mining.
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. Enrollment limit of 30.