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Your search for courses · tagged with DGAH Skill Building · returned 8 results
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ARCN 246 Archaeological Methods & Lab 6 credits
As a field that is truly interdisciplinary, archaeology uses a wide range of methods to study the past. This course provides a hands-on introduction to the entire archaeological process through classroom, field, and laboratory components. Students will participate in background research concerning local places of historical or archaeological interest; landscape surveying and mapping in GIS; excavation; the recording, analysis, and interpretation of artifacts; and the publication of results. This course involves real archaeological fieldwork, and students will have an opportunity to contribute to the history of the local community while learning archaeological methods applicable all over the world.
Sophomore priority
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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
- Fall 2024, Winter 2025, Spring 2025
- ARP, Arts Practice
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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.
- Fall 2024, Winter 2025, 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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MUSC 108 Introduction to Music Technology 6 credits
A course in using the computer to make meaningful interventions into our practices as musicians. We’ll explore a number of approaches to composing, producing, and hearing music, among them coding, visual programming, and working in a digital audio workstation. Students will ultimately combine and hybridize these different methods in order to create unique, individual systems, using them to make new work. Open to all interested students; no prior experience with music, programming, or production required.
- Fall 2024
- ARP, Arts Practice
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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
- Fall 2024, Winter 2025, 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.
- Fall 2024, Winter 2025, 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.
- Winter 2025, 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.