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Your search for courses for 23/SP and in AND 329 found 9 courses.

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CHEM 224.54 Principles of Chemistry II and Lab 6 credits

Open: Size: 24, Registered: 0, Waitlist: 0

Anderson Hall 329 / Anderson Hall 229

MTWTHF
8:30am9:40am8:30am9:40am1:00pm5:00pm8:30am9:30am

Other Tags:

Synonym: 64469

Deborah S Gross

A more advanced study of several core introductory chemistry principles. This course is suitable for students with advanced placement in chemistry or students who have completed Chemistry 123 or 128. Topics include coordination chemistry, advanced bonding models, spectroscopy, advanced acid/base and redox equilibria, and electrochemistry. The topics will be taught from varying perspectives using examples from biochemistry, the environment, energy, or materials chemistry. The lab will focus on developing computational, quantitative, and synthetic skills and will prepare students for more advanced laboratory work in chemistry.

Prerequisite: Chemistry 123 or Chemistry 128

CHEM 224.59 Principles of Chemistry II and Lab 6 credits

Open: Size: 24, Registered: 0, Waitlist: 0

Anderson Hall 329 / Anderson Hall 229

MTWTHF
8:30am9:40am8:30am9:40am8:00am12:00pm8:30am9:30am

Other Tags:

Synonym: 64470

Deborah S Gross

A more advanced study of several core introductory chemistry principles. This course is suitable for students with advanced placement in chemistry or students who have completed Chemistry 123 or 128. Topics include coordination chemistry, advanced bonding models, spectroscopy, advanced acid/base and redox equilibria, and electrochemistry. The topics will be taught from varying perspectives using examples from biochemistry, the environment, energy, or materials chemistry. The lab will focus on developing computational, quantitative, and synthetic skills and will prepare students for more advanced laboratory work in chemistry.

Prerequisite: Chemistry 123 or Chemistry 128

CHEM 348.00 Introduction to Computational Chemistry 6 credits

Open: Size: 12, Registered: 0, Waitlist: 0

Anderson Hall 329

MTWTHF
9:50am11:00am9:50am11:00am9:40am10:40am

Requirements Met:

Synonym: 64481

Daniela L Kohen

This class will introduce students to computational chemistry with a focus on simulations in chemistry and biology. This course will include hands-on experience in running classical molecular dynamics and quantum chemistry programs, an introduction to methods to simulate large systems, and demonstrations of the use of more sophisticated software to simulate chemical and biological processes. It will also include a survey of the current literature in this area, as well as lecture time in which the background necessary to appreciate this growing area of chemistry will be provided.

Prerequisite: Chemistry 343 and 344 or consent of the instructor; Concurrent registration in Chemistry 349

CHEM 349 required

CHEM 351.00 Inorganic Chemistry 6 credits

Open: Size: 25, Registered: 0, Waitlist: 0

Anderson Hall 329

MTWTHF
12:30pm1:40pm12:30pm1:40pm1:10pm2:10pm

Requirements Met:

Synonym: 64473

Matt T Whited

Symmetry, molecular orbital theory and ligand field theory will provide a framework to explore the bonding, magnetism and spectroscopic properties of coordination complexes. Topics in reactivity (hard and soft acids and bases), bioinorganic chemistry, reaction mechanisms, and organometallic chemistry, will also be introduced.

Prerequisite: Chemistry 224 and 234

CS 201.01 Data Structures 6 credits

Open: Size: 34, Registered: 0, Waitlist: 0

Anderson Hall 329

MTWTHF
1:50pm3:00pm1:50pm3:00pm2:20pm3:20pm
Synonym: 64309

Kiran Tomlinson

Think back to your favorite assignment from Introduction to Computer Science. Did you ever get the feeling that "there has to be a better/smarter way to do this problem"? The Data Structures course is all about how to store information intelligently and access it efficiently. How can Google take your query, compare it to billions of web pages, and return the answer in less than one second? How can one store information so as to balance the competing needs for fast data retrieval and fast data modification? To help us answer questions like these, we will analyze and implement stacks, queues, trees, linked lists, graphs, and hash tables. Students who have received credit for a course for which Computer Science 201 is a prerequisite are not eligible to enroll in Computer Science 201.

Prerequisite: Computer Science 111 or instructor permission

Sophomore Priority

Waitlist for Juniors and Seniors: CS 201.WL1 (Synonym 64311)

CS 252.00 Algorithms 6 credits

Open: Size: 34, Registered: 0, Waitlist: 0

Anderson Hall 329

MTWTHF
11:10am12:20pm11:10am12:20pm12:00pm1:00pm
Synonym: 64314

Eric C Alexander

A course on techniques used in the design and analysis of efficient algorithms. We will cover several major algorithmic design paradigms (greedy algorithms, dynamic programming, divide and conquer, and network flow). Along the way, we will explore the application of these techniques to a variety of domains (natural language processing, economics, computational biology, and data mining, for example). As time permits, we will include supplementary topics like randomized algorithms, advanced data structures, and amortized analysis.

Prerequisite: Computer Science 201 and Computer Science 202 (Mathematics 236 will be accepted in lieu of Computer Science 202)

IDSC 298.00 FOCUS Sophomore Colloquium 1 credit, S/CR/NC only

Open: Size: 25, Registered: 0, Waitlist: 0

Anderson Hall 329

MTWTHF
3:10pm4:20pm
Synonym: 65427

Deborah S Gross

This colloquium is designed for sophomore students participating in the Focusing on Cultivating Scientists program. It will provide an opportunity to participate in STEM-based projects on campus and in the community. The topics of this project-based colloquium will vary each term.

Prerequisite: Interdisciplinary Studies 198 as first year student

Prior registration in IDSC 198

PSYC 200.00 Measurement and Data Analysis in Psychology 6 credits

Open: Size: 25, Registered: 0, Waitlist: 0

Anderson Hall 329

MTWTHF
10:10am11:55am10:10am11:55am
Synonym: 65336

Mitchell R Campbell

The course considers the role of measurement and data analysis focused on behavioral sciences. Various forms of measurement and standards for the evaluation of measures are explored. Students learn how to summarize, organize, and evaluate data using a variety of techniques that are applicable to research in psychology and other disciplines. Among the analyses discussed and applied are tests of means, various forms of analysis of variance, correlation and regression, planned and post-hoc comparisons, as well as various non-parametric tests. Research design is also explored.

Prerequisite: Psychology 110, or Psychology/Cognitive Science 232/233, or instructor consent; Concurrent registration in Psychology 201 required

PSYC 254.00 Psychopathology 6 credits

Open: Size: 25, Registered: 0, Waitlist: 0

Anderson Hall 329

MTWTHF
1:15pm3:00pm1:15pm3:00pm

Requirements Met:

Synonym: 65312

Ken B Abrams

This course will focus on causal factors and clinical presentations of mental disorders, such as mood disorders, anxiety disorders, eating disorders, dissociative disorders, and psychotic disorders, among others. We will use an integrative approach that incorporates psychological, biological, interpersonal, and sociocultural perspectives. Methods of assessment and treatment will also at times be discussed.

Prerequisite: Psychology 110 or instructor permission.

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Requirements
You must take 6 credits of each of these.
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You must take 6 credits of each of these,
except Quantitative Reasoning, which requires 3 courses.
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