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add: detail for 102,105,300,301,305
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@obonhamcarter
obonhamcarter committed Jul 10, 2023
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233 changes: 198 additions & 35 deletions gator-plan/src/data.json
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"To master skills of technical communication",
"To implement mathematical structure in programming",
"To use industry-standard tools such as GitHub to maintain code",
"To write clean and readable Python code that is easy for others to understand.",
"To write clean and readable Python code that is convenient for others to understand.",
],
"learningOutcomes": [
"To test programs thoroughly before submission.",
"To demonstrate proficiency in python programming environments.",
"To be to create clear and meaningful technical documentation.",
"To create clear and meaningful technical documentation.",
"To be able to demonstrate mathematical concepts and translate meaning in language.",
"To be able to work effectively in Python environments"
]
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"inflevel": "Module",
"infSub": "Health Informatics",
"selevel": "",
"topics": [
"Ethics",
"technicalTopics": [
"DNA Basics",
"Central Dogma of Biology",
"Replication of DNA",
"BioPython",
"Sequence Alignment",
"Code Review",
"Philosophy of Biology",
"Sequence Annotation",
"Blast",
"SubMatrices",
"Ethics",
"Databases",
"Mathematical Programming",
"Genetic Mutation",
"Bioinformatics",
"Gene Prediction",
"Data Modeling"
"Gene Sequencing"
],
"professionalTopics": [
"biological systems",
"Docker",
"Processing biological data"
"GatorGrader",
"GitHub",
"Teamwork",
"Code Development",
"Communication",
"Presentations",
"Analysis",
"Programming Tools",
"Online tools for analysis of biological data"
],
"tools": [
"BLAST",
"UniProt",
"Docker",
"Python",
"GatorGrader",
"GitHub"
"Git",
"Blast"
"GitHub",
"Online databases of biological phenomena",
"VScode",
"Jupyter Notebook",
"Markdown"
],
"lab": [],
"learningObjectives": [],
"learningOutcomes": []
"platform": [
"https://github.com/Computational-Bioinformatics"],
"learningObjectives": [
"To gain a world-view of bioinformatics and its research interests",
"To learn how genetic information is obtained and processed",
"To understand how to create tools to address data from biological systems",
"To master skills of technical communication",
"To harness online tools to evaluate data and produce results",
"To learn how to address research project as a team effort",
"To master programming tools to craft tools to evaluate biological data"
],
"learningOutcomes": [
"To gain practical experience in the design, implementation, and analysis of bioinformatics research",
"To reason critically from results gained from own programmed or online tools",
"To master software development tools to create programs and code which can be shared with others",
"To be able to work effectively in Python environments",
"To gain skills for communication of results to showcase discovery from biological data",
"To provide visual results of analysis of biological phenomena"
]
},
{
"courseNumber": "CMPSC 105",
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"inflevel": "Foundation",
"infSub": "",
"selevel": "Foundation",
"topics": [
"technicalTopics": [
"Teamwork",
"Data Structures",
"Recursion"
"Acquiring Data",
"Processing Data",
"Programming Constructs",
"Statistics",
"Visualization",
"Communication",
"Comprehension of Arguments by Data",
"Validation by Data"
],
"professionalTopics": [
"teamwork",
"code development",
"communication",
"presentations",
"analysis",
"programming"
],
"tools": [
"Docker",
"RStudio",
"Jupyter Notebook",
"R Rrogramming",
"Python",
"GatorGrader",
"Git",
"GitHub",
"Git"
"Matplotlib",
"VScode",
"CSV",
"Markdown"
],
"lab": [],
"learningObjectives": [],
"learningOutcomes": []
"platform": ["TBA"],
"learningObjectives": [
"To understand programming and statistical constructs",
"To create own tools for particular applications of analysis",
"To master skills of technical communication",
"To understand which data is necessary for specific applications of analysis",
"To implement mathematical structure in programming",
"To use industry-standard tools such as GitHub to maintain code",
"To write clean and readable Python and R-programming code that is convenient for others to understand.",
],
"learningOutcomes": [
"To determine appropriate solutions and tool-types for task.",
"To be able to program tools for specific analysis",
"To demonstrate proficiency in python and R programming environments.",
"To create clear and meaningful technical documentation.",
"To be able to obtain results, critically reason them and form conclusions.",
"To be able to work effectively in Python environments"
]
},
{
"courseNumber": "CMPSC 201",
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"Plotting",
"Ethics"
],
"tools": [
"Docker",
"R",
"technicalTopics": [
"RStudio",
"R-programming"
"Tidyverse",
"psych",
"ggplot"
"Regression, Single and Multivariate analysis",
"T-test",
"ANOVA",
"General Statistics",
"Correlations",
"Ethical interests associated with analytics"
],
"lab": [],
"learningObjectives": [],
"learningOutcomes": []
"professionalTopics": [
"teamwork",
"tool development",
"data gathering and processing",
"communication",
"presentations",
"analysis",
"programming",
"models for prediction"
],
"tools": [
"RStudio",
"R Programming"
"GatorGrader",
"Git",
"GitHub",
"CSV",
"Markdown",
"Online tools for analysis",
"Google Analytics"
"Models"
],
"platform": [
"https://github.com/CMPSC-301-Allegheny-College-Spring-2023"
],
"learningObjectives": [
"A experience a big-picture overview of data analytics",
"To gain an understanding of the objectives and limitations of data analytics",
"To foster an understanding of the main data analytics methods.",
"To gain practical experience using software tools and programming techniques",
"To examine some of the contemporary roles of power and difference as they relate to the knowledge derived from data",
"To gain an understanding of biases, discrimination and stereotypes that maybe present during collection, analysis, and reflection on the latent trends in real-world data sets",
"To gain practical experience in the design, implementation, and analysis of data for research"
],
"learningOutcomes": [
"To acquire and process public data",
"To write clean and readable R code that is convenient for others to understand",
"To use statistical models effectively within different contexts",
"To gain skills for communication of results to showcase discovery of phenomena from data",
"To gain experience using Google Analytics",
"To be able to employ statistical models to detect concepts",
"To be able to create plots to visually describe results"
]
},
{
"courseNumber": "CMPSC 529",
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"infSub": "Geoinformatics",
"selevel": "Electives",

"topics": ["Teamwork", "Queries", "Version Control Systems", "Databases", "Ethics", "Data Modeling", "Data Storage", "Code Review"],
"tools": ["Apache Cassandra", "GitHub", "SQL", "Django", "MongoDB", "SQLite", "Docker", "Neo4j", "GatorGrader", "Python"],

"lab": [],
"learningObjectives": [],
"learningOutcomes": []
"technicalTopics": [
"Teamwork",
"Queries",
"Design",
"Maintenance",
"Ethics",
"Data Modeling",
"Data Storage",
"Visualization"
],
"professionalTopics": [
"teamwork",
"code development",
"communication",
"presentations",
"analysis",
"programming"
],
"tools": [
"Apache Cassandra",
"GitHub",
"SQL and No-SQL",
"Django",
"MongoDB",
"SQLite3",
"Neo4j",
"GatorGrader",
"Python"
],
"platform": [
"https://github.com/Allegheny-ComputerScience-312-S2022"
],
"learningObjectives": [
"To investigate some of the key techniques that scientists use to manage data",
"To learn general SQL programming",
"To learn program basic and advanced queries",
"To gain experience in designing databases",
"To learn how to communicate ideas based on output of queries"
],
"learningOutcomes": [
"To learn general programming in no-SQL programming environments",
"To understand database concepts such as normalization, indexing, security etc.",
"To be able to use SQL to write complex SELECT statements with filtering conditions using logical operators like AND OR NOT",
"To learn general MongoDB and Neo4j programming",
"To learn how database management may be automated using Python"
]
},

{
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