Methods Classes: Computing
UMass
Method: Computing
School: Umass
Course: Communication COMM
Course Level (G/U): Graduate
Course Title: Internet Research
Course Description:
Instructor(s): Jarice Hanson
Fall 2012 Schedule: Not offered
Method: Computing
School: Umass
Course: Sociology 717
Course Level (G/U): Graduate
Course Title: Computer Methods in Sociology
Course Description:
Introduction to statistical analysis on the personal computer. Basic programming techniques, such as file creation, data input, use of logical and relational operators, branching, and matrix operations are presented for creating and editing data sets, transforming variables, and computing statistics. Students program and test a statistical or mathematical model. Prerequisite: Sociol 711 or equivalent multivariate statistics.
Instructor(s):
Fall 2012 Schedule: Not offered
Method: Computing
School: Umass
Course: Anthropology 597DM
Course Level (G/U): Graduate
Course Title: Digital Methods in Linguistic Anthropology
Course Description:none available
Instructor(s): Emiliana Cruz
Fall 2012 Schedule: MON 12:20-3:20 PM
Method: Computing
School: Umass
Course: Resource Economics 112
Course Level (G/U): Undergraduate
Course Title: Computing: Foundation to Frontiers
Course Description:Provides introductory training and a fluency in the discipline, to help the student to apply IT to her or his own major or career. Course develops understanding of contemporary computing tools, IT concepts, and higher-order skills like those needed to perform needs assessment and systems analysis and troubleshooting. It also introduces emerging technologies and the needs they fill, and seeks to develop a context for understanding the role of IT in society, and its relevance in a student's life.
Instructor(s): http://courses.umass.edu/resec112/
Fall 2012 Schedule: Glenn Caffery
Method: Computing
School: Umass
Course: Public Health 571
Course Level (G/U): Graduate
Course Title: Calculation Methods
Course Description:Concise review of the computational techniques of the chemical, physical, and engineering sciences that are fundamental to environmental health science. Required of all Environmental Health Sciences majors. Prerequisites: at least one year each of undergraduate mathematics, chemistry, and physics.
Instructor(s):
Fall 2012 Schedule: Lisa Chasan-Taber
Method: Computing
School: Umass
Course: Public Health 743
Course Level (G/U): Graduate
Course Title: Analysis of Categorical Data in Public Health
Course Description:In-depth examination of the use of the logistic regression model with applications. Analyses using a computer program.
Instructor(s):
Fall 2012 Schedule: Yucel
Method: Computing
School: Umass
Course: Public Health 744
Course Level (G/U): Graduate
Course Title: Computer Analysis for Health Sciences
Course Description:Applications of the linear regression model. Emphasis on use and interpretation of statistical software output.
Instructor(s): http://people.umass.edu/foulkes/Courses/BIO744/Handout5.pdf
Fall 2012 Schedule: Rongheng Lin
Method: Computing
School: Umass
Course: Public Health 691F
Course Level (G/U): Graduate
Course Title: Data Mgt&Stat Comp
Course Description:An introduction to data management for research projects in the biomedical sciences using microcomputers. Topics include design of data collection forms, data entry, computer managed documentation and statistical computing using SAS.
Instructor(s): http://people.umass.edu/jvoas/
Fall 2012 Schedule: Penelope Pekow
Method: Computing
School: Umass
Course: Public Health 790C
Course Level (G/U): Graduate
Course Title: Advanced Computational Statistics
Course Description:Provides a broad and thorough knowledge of modern techniques in computational statistics. Hands-on experience will cover a wide range of illustrations including complex sample surveys, multilevel data, and high dimensional clustered data.
Instructor(s):
Fall 2012 Schedule: Staff
Method: Computing
School: Umass
Course: Nursing 735
Course Level (G/U): Graduate
Course Title: Informatics for Nursing Practice
Course Description: This course provides students with essential knowledge and skills to utilize information systems/technology to improve and transform healthcare systems and provide leadership within healthcare systems and/or academic settings.
Instructor(s):
Fall 2012 Schedule: Jeungok Choi, John Nunnelly
Method: Computing
School: Umass
Course: Stats 597A
Course Level (G/U): Graduate
Course Title: Statistical Computing
Course Description:his course provides an introduction to statistical computing using SAS and R. It is intended for upper level undergraduates only and graduate students. Students entering the course are assumed to have had a prior course exposing them to the basic principles of statistical inference (e.g., Stat 501 or Stat 516 or equivalent) with additional prerequisites for the later two modules, as described below. This course cannot be taken by someone with only Stat 515 or prior coursework in Statistics. The primary objective as the title indicates, is to teach the student useful programming skills for addressing a variety of problems in statistics and probability, including carrying out Monte-Carlo simulations. More detail on coverage is described for each of the modules below.
Instructor(s):
Fall 2012 Schedule: Anna Liu
Method: Computing
School: Umass
Course: Education 612
Course Level (G/U): Graduate
Course Title: Educational Web Design
Course Description: This course will investigate the design of web resources for educational purposes. It will explore the tools and procedures required to design, build and implement a Website.
Instructor(s): http://blogs.umass.edu/educ612/files/2007/04/syllabus.pdf
Fall 2012 Schedule: See Spire
Method: Computing
School: Umass
Course: Education 592
Course Level (G/U): Graduate
Course Title: User Interface Design
Course Description: This course considers the principles and heuristics for the design of user interfaces to software systems, in particular systems targeting the learning of science, math and programming
Instructor(s): http://people.umass.edu/~afeldman/EDUC592Ssyllabus.htm
Fall 2012 Schedule: See Spire
Method: Computing
School: Umass
Course: Linguistics 409
Course Level (G/U): Undergraduate
Course Title: Introduction to Computational Linguistics
Course Description: This course is designed to introduce students to the basics of the theory of computation, to provide them with practical skills in information retrieval and text processing, and to give them hands-on experience grappling with the diversity of the world's languages. We will begin by studying information extraction from the Internet using search engines, and then we will explicitly introduce ech{finite-state methods}, which allow for more nuanced search queries. We will tackle intricate problems in English morphosyntax, and we will work through the issues that arise when studying other languages. The final part of the course will focus on ech{context-free grammars}, which are more powerful even than finite-state methods. Students will finish the course ready to extract subtle information from very large collections of documents.
Instructor(s): https://sites.google.com/site/umasslx409/
Fall 2012 Schedule: Rajesh Bhatt
Method: Computing
School: Umass
Course: Linguistics 492B
Course Level (G/U): Undergraduate
Course Title: Computational Linguistics: Use and Meaning
Course Description: This course will introduce students to the use of probabilisitic methods in computational linguistics, focusing on problems of disambiguation and classification. Students will be introduced to basic probability and information theory, as well as basic tools used in NLP applications such as Hidden Markov Models. Topics covered will include the application of statistical methods to problems of word sense disambiguation, part of speech tagging, and sentiment analysis.
Instructor(s):
Fall 2012 Schedule: Brian Dillon
Method: Computing
School: Umass
Course: Environmental Conservation 697I
Course Level (G/U): Graduate
Course Title: Information Technology for the Public and Nonprofit Sectors
Course Description:Information technology management issues in public and non-profit organizations. Hands-on experience with two important technologies: web system development and relational database applications.
Instructor(s): http://courses.umass.edu/pubp631/
Fall 2012 Schedule: Charles Schweik
Method: Computing, Ethnography, Research Design
School: Umass
Course: Anthropology 697D
Course Level (G/U): Graduate
Course Title: Digital Ethnographic Film Methods
Course Description: This course will provide graduate students in cultural and linguistic anthropology with hands-on training in the use of digital audio and video as a part of ethnographic methods and analysis. Through guided semester-long ethnographic research projects, students will gain experience in the collection of digital audio and video data, as well as in manipulating, editing, transcribing and analyzing audio-visual material. Students will also learn first-hand about negotiating the IRB approval process for research involving human subjects.
Instructor(s): Thea Strand (visiting)
Fall 2012 Schedule: Not offered
Mount Holyoke
Method: Math/Stats; Computing
School: Mount Holyoke
Course: Psychology 201f/s
Course Level (G/U): Undergraduate
Course Title: Statistics
Course Description: Statistical procedures are powerful tools for analyzing and interpreting findings and are necessary for accurate reading and understanding of research findings. This course provides an introduction to the most frequently encountered techniques for describing data and making inferences in psychological research. A variety of computer applications are used.
Prereq. a 100-level course in psychology; Students should sign up for the lecture course and one lab section
Instructor(s): Morrow
Fall 2012 Schedule: yes
Method: General Methods; Research Design; Survey Research; Math/Stats; Computing
School: Mount Holyoke
Course: Psychology 200f/s
Course Level (G/U): Undergraduate
Course Title: Research Methods in Psychology
Course Description: This course provides an introduction to the skills necessary for becoming good producers and consumers of psychological research. Students learn to develop research questions, survey related literature, design rigorous and ethically sound studies, and collect, analyze, and interpret quantitative and qualitative data. Students build on their computer skills relevant for psychological research and learn to read and critique original empirical journal articles. The course culminates in an original, collaborative research project, a final paper, and an oral presentation.
Prereq. a 100-level course in psychology AND Psychology 201 or Statistics 240; students must take statistics (Psychology 201) before enrolling in this course; students should sign up for the lecture course and one lab section
Instructor(s): Binder
Fall 2012 Schedule: yes