CollegeTransfer.Net
Toggle menu
Home
Search
Search
Search Transfer Schools
Search for Course Equivalencies
Search for Exam Equivalencies
Search for Transfer Articulation Agreements
Search for Programs
Search for Courses
PA Bureau of CTE SOAR Programs
Transfer Student Center
Transfer Student Center
Adult Learners
Community College Students
High School Students
Traditional University Students
International Students
Military Learners and Veterans
About
About
Institutional information
Transfer FAQ
Register
Login
Course Criteria
Add courses to your favorites to save, share, and find your best transfer school.
9 012: Cognitive Science
6.00 Credits
Massachusetts Institute of Technology
Intensive survey of cognitive science. Topics include visual perception, language, memory, cognitive architecture, learning, reasoning, decision-making, and cognitive development. Topics covered from behavioral, computational, and neural perspectives.
Prerequisite:
Prereq: Permission of instructor
Share
9 012 - Cognitive Science
Favorite
9 013J: Molecular and Cellular Neuroscience Core II
3.00 Credits
Massachusetts Institute of Technology
Survey and primary literature review of major areas in molecular and cellular neurobiology. Covers neurotrophin signaling and cell survival, neuronal and homeostatic plasticity, basic circuit formation and molecular features of sensory processing, and neurological/psychiatric disease mechanisms. Includes lectures and exams, and involves presentation and discussion of primary literature. 9.015 recommended, though the core subjects can be taken in any sequence.
Prerequisite:
Prereq: Permission of instructor
Share
9 013J - Molecular and Cellular Neuroscience Core II
Favorite
9 015J: Molecular and Cellular Neuroscience Core I
3.00 Credits
Massachusetts Institute of Technology
Survey and primary literature review of major topic areas in molecular and cellular neurobiology. Covers neurogenomics, nervous system formation, axonal pathfinding, cytoskeletal regulation, synapse formation, neurotransmitter release, and cellular neurophysiology. Includes lectures and exam, together with presentation and discussion of primary literature.
Prerequisite:
Prereq: None
Share
9 015J - Molecular and Cellular Neuroscience Core I
Favorite
9 02: Systems Neuroscience Laboratory
2.00 Credits
Massachusetts Institute of Technology
Consists of a series of laboratories designed to give students experience with basic techniques for conducting systems neuroscience research. Includes sessions on anatomical, neurophysiological, and data acquisition and analysis techniques, and ways these techniques are used to study nervous system function. Training provided in the art of scientific writing with feedback designed to improve writing skills. Assignments include weekly preparation for lab sessions, two major lab reports and a series of basic computer programming tutorials (MATLAB). Involves the use of experimental animals. Enrollment limited.
Prerequisite:
Prereq: 9.01
Share
9 02 - Systems Neuroscience Laboratory
Favorite
9 03: Neural Basis of Learning and Memory
3.00 Credits
Massachusetts Institute of Technology
Highlights the interplay between cellular and molecular storage mechanisms and the cognitive neuroscience of memory. Emphasis on human and animal models of hippocampal mechanisms and function. Lectures and discussion of papers.
Prerequisite:
Prereq: 9.01
Share
9 03 - Neural Basis of Learning and Memory
Favorite
9 036: The Visual System
3.00 Credits
Massachusetts Institute of Technology
Studies the organization of the mammalian visual system and the manner in which shape, color, texture, motion, and depth are processed.
Prerequisite:
Prereq: Permission of instructor
Share
9 036 - The Visual System
Favorite
9 04: Neural Basis of Vision and Audition
3.00 Credits
Massachusetts Institute of Technology
Examines the neural bases of visual and auditory processing for perception and sensorimotor control. Focuses on physiological and anatomical studies of the mammalian nervous system as well as behavioral studies of animals and humans. Studies visual pattern, color and depth perception, auditory responses and speech coding, and spatial localization.
Prerequisite:
Prereq: 9.01 or permission of instructor
Share
9 04 - Neural Basis of Vision and Audition
Favorite
9 044J: Brain Mechanisms for Hearing and Speech
4.00 Credits
Massachusetts Institute of Technology
An advanced subject covering anatomical, physiological, behavioral, and computational studies of the central nervous system relevant to speech and hearing. Students learn primarily by discussions of scientific papers on topics of current interest. Recent topics include neural circuits in the auditory brainstem, organization and processing in the auditory cortex, auditory reflexes and descending systems, functional imaging of the human auditory system, quantitive methods for relating neural responses to behavior, speech motor control, and cortical representation of language.
Prerequisite:
Prereq: HST.723 or permission of instructor
Share
9 044J - Brain Mechanisms for Hearing and Speech
Favorite
9 05: Neural Basis of Movement
3.00 Credits
Massachusetts Institute of Technology
Surveys general principles and specific examples of motor control in biological systems. Emphasizes the neural mechanisms underlying different aspects of movement and movement planning. Covers sensory reception, reflex arcs, spinal cord organization, pattern generators, muscle function, locomotion, eye movement, and cognitive aspects of motor control. Functions of central motor structures, including cerebellum, basal ganglia, and cerebral cortex. Cortical plasticity, motor learning and computational approaches to motor control, and motor disorders are discussed.
Prerequisite:
Prereq: 9.01 or permission of instructor
Share
9 05 - Neural Basis of Movement
Favorite
9 07: Statistics for Brain and Cognitive Science
4.00 Credits
Massachusetts Institute of Technology
Provides students with the basic tools for analyzing experimental data, properly interpreting statistical reports in the literature, and reasoning under uncertain situations. Topics cover three theories: probability, statistical, and the linear model. Probability theory covers axioms of probability, discrete and continuous probability models, law of large numbers, and the Central limit theorem. Statistical theory covers estimation, likelihood theory, Bayesian methods, bootstrap and other Monte Carlo methods, as well as hypothesis testing, confidence intervals, elementary design of experiments principles and goodness-of-fit. The linear model theory covers the simple regression model and the analysis of variance. Places equal emphasis on theory, data analyses, and simulation studies.
Prerequisite:
Prereq: Calculus II (GIR) or permission of instructor
Share
9 07 - Statistics for Brain and Cognitive Science
Favorite
Show comparable courses
First
Previous
296
297
298
299
300
Next
Last
Results Per Page:
10
20
30
40
50
Search Again
To find college, community college and university courses by keyword, enter some or all of the following, then select the Search button.
College:
(Type the name of a College, University, Exam, or Corporation)
Course Subject:
(For example: Accounting, Psychology)
Course Prefix and Number:
(For example: ACCT 101, where Course Prefix is ACCT, and Course Number is 101)
Course Title:
(For example: Introduction To Accounting)
Course Description:
(For example: Sine waves, Hemingway, or Impressionism)
Distance:
Within
5 miles
10 miles
25 miles
50 miles
100 miles
200 miles
of
Zip Code
Please enter a valid 5 or 9-digit Zip Code.
(For example: Find all institutions within 5 miles of the selected Zip Code)
State/Region:
Alabama
Alaska
American Samoa
Arizona
Arkansas
California
Colorado
Connecticut
Delaware
District of Columbia
Federated States of Micronesia
Florida
Georgia
Guam
Hawaii
Idaho
Illinois
Indiana
Iowa
Kansas
Kentucky
Louisiana
Maine
Marshall Islands
Maryland
Massachusetts
Michigan
Minnesota
Minor Outlying Islands
Mississippi
Missouri
Montana
Nebraska
Nevada
New Hampshire
New Jersey
New Mexico
New York
North Carolina
North Dakota
Northern Mariana Islands
Ohio
Oklahoma
Oregon
Palau
Pennsylvania
Puerto Rico
Rhode Island
South Carolina
South Dakota
Tennessee
Texas
Utah
Vermont
Virgin Islands
Virginia
Washington
West Virginia
Wisconsin
Wyoming
American Samoa
Guam
Northern Marianas Islands
Puerto Rico
Virgin Islands