Search Results
Your search for courses · during 25SP · tagged with DGAH Skill Building · returned 7 results
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CAMS 111 Intro to Cinema & Media Production 6 credits
This class introduces students to the full range of production tools and forms, building both the technical and conceptual skills needed to continue at more advanced levels. We will explore the aesthetics and mechanics of shooting digital video, the role of sound and how to record and mix it, field and studio production, lighting, and editing with Adobe Premiere Pro CC. Course work will include individual and group production projects, readings, and writing. This is an essential foundation for anyone interested in moving-image production and learning the specifics of CAMS' studios, cameras, and lighting equipment.
Sophomore Priority. Formerly titled Digital Foundations. Extra Time required for evening equipment and software labs
- Spring 2025
- ARP, Arts Practice
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CAMS 111.01 Spring 2025
- Faculty:Cecilia Cornejo 🏫 👤
- Size:12
- T, THWeitz Center 133 10:10am-11:55am
- T, THWeitz Center 138 10:10am-11:55am
Sophomore Priority. Formerly titled Digital Foundations. Extra Time required for evening equipment and software labs
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Sophomore Priority.
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CAMS 111.02 Spring 2025
- Faculty:Cecilia Cornejo 🏫 👤
- Size:12
- T, THWeitz Center 133 1:15pm-3:00pm
- T, THWeitz Center 138 1:15pm-3:00pm
Sophomore Priority. Formerly titled Digital Foundations. Extra Time required for evening equipment and software labs
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Sophomore Priority.
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CAMS 165 Sound Design 6 credits
This course examines the theories and techniques of sound design for film and video. Students will learn the basics of audio recording, sound editing and multi-track sound design specifically for the moving image. The goal of the course is a greater understanding of the practices and concepts associated with soundtrack development through projects using recording equipment and the digital audio workstation for editing and mixing.
Sound Design is offered at both the 100 and 200 levels; coursework will be adjusted accordingly. Students who have taken CAMS 111 should register for CAMS 265; students who have not taken CAMS 111 should register for CAMS 165.
Extra Time Required. CAMS 165 students will complete additional workshops during the first two weeks of class in order to be familiarized with the audio recording hardware.
- Spring 2025
- ARP, Arts Practice
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Not open to students who have taken CAMS 265.
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CAMS 165.00 Spring 2025
- Faculty:Jay Beck 🏫 👤
- Size:15
- M, WWeitz Center 138 9:50am-11:00am
- FWeitz Center 138 9:40am-10:40am
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CS 111 Introduction to Computer Science 6 credits
This course will introduce you to computer programming and the design of algorithms. By writing programs to solve problems in areas such as image processing, text processing, and simple games, you will learn about recursive and iterative algorithms, complexity analysis, graphics, data representation, software engineering, and object-oriented design. No previous programming experience is necessary.
- Spring 2025
- FSR, Formal or Statistical Reasoning QRE, Quantitative Reasoning
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NOT open to students who have completed any of the following course(s): CS 201 or greater with a grade of C- or better.
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ENTS 120 Introduction to Geospatial Analysis & Lab 6 credits
Spatial data analysis using Geographic Information Systems (GIS), remote sensing, global positioning, and related technologies are increasingly important for understanding and analyzing a wide range of biophysical, social, and economic phenomena. This course serves as an overview and introduction to the concepts, algorithms, issues, and methods in describing, analyzing, and modeling geospatial data over a range of application areas.
- Spring 2025
- QRE, Quantitative Reasoning SI, Social Inquiry
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ENTS 120.52 Spring 2025
- Faculty:Karissa Pepin 🏫 👤
- Size:12
- M, WAnderson Hall 223 9:50am-11:00am
- TOlin 206 1:00pm-5:00pm
- FAnderson Hall 223 9:40am-10:40am
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ENTS 120.53 Spring 2025
- Faculty:Karissa Pepin 🏫 👤
- Size:12
- M, WAnderson Hall 223 9:50am-11:00am
- WOlin 206 1:00pm-5:00pm
- FAnderson Hall 223 9:40am-10:40am
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STAT 120 Introduction to Statistics 6 credits
Introduction to statistics and data analysis. Practical aspects of statistics will be emphasized, including extensive use of programming in the statistical software R, interpretation and communication of results. Topics include: exploratory data analysis, correlation and linear regression, design of experiments, the normal distribution, randomization approach to inference, sampling distributions, estimation, and hypothesis testing. Students who have taken Mathematics 211 are encouraged to consider the more advanced Mathematics 240/Statistics 250 Probability/Statistical Inference sequence.
Not open to students who have already received credit for Psychology 200/201, Sociology/Anthropology 239 or Statistics 250
- Spring 2025
- FSR, Formal or Statistical Reasoning QRE, Quantitative Reasoning
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Not open to students that have taken PSYC 200 – Measurement and Data Analysis in Psychology, PSYC 201 – Measurement and Data Analysis Lab , SOAN 239 – Social Statistics or STAT 250 – Introduction to Statistical Inference.
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STAT 220 Introduction to Data Science 6 credits
This course will cover the computational side of data analysis, including data acquisition, management, and visualization tools. Topics may include: data scraping, data wrangling, data visualization using packages such as ggplots, interactive graphics using tools such as Shiny, an introduction to classification methods, and understanding and visualizing spatial data. We will use the statistics software R in this course.
- Spring 2025
- FSR, Formal or Statistical Reasoning QRE, Quantitative Reasoning
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Student has completed any of the following course(s): STAT 120 – Introduction to Statistics or STAT 230 – Applied Regression Analysis, or STAT 250 – Introduction to Statistical Inference with a grade of C- or better.
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STAT 250 Introduction to Statistical Inference 6 credits
Introduction to modern mathematical statistics. The mathematics underlying fundamental statistical concepts will be covered as well as applications of these ideas to real-life data. Topics include: resampling methods (permutation tests, bootstrap intervals), classical methods (parametric hypothesis tests and confidence intervals), parameter estimation, goodness-of-fit tests, regression, and Bayesian methods. The statistical package R will be used to analyze data sets.
- Spring 2025
- FSR, Formal or Statistical Reasoning QRE, Quantitative Reasoning
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Student has completed any of the following course(s): MATH 240 – Probability with a grade of C- or better.