信息技术-人工智能数据专家

在本课程中, 学生探索概念, 设计, 文档, 并实现各种数据库系统, 包括专有和开源技术. Students implement Structured Query Language (SQL) to store, retrieve, and manipulate data. 学生创建查询、规范化数据库结构和创建存储过程. 完成本课程后, students will be prepared to develop and maintain databases used in application development.

在本课程中, students will explore the fundamental aspects of information technology. 学生研究基本的硬件系统, 各种操作系统, 重要软件包, 网络基础知识, 基本互联网技术, 以及解决问题的基本技巧. 课程结束后, students are prepared to utilize their IT skills to work effectively in IT-related tasks.

在本课程中，学生将探索盖特威技术学院社区. 他们考察大学的资源和服务, 调查导致学业成功的技能, 确定实现教育和个人目标的策略.

在本课程中, students investigate the fundamentals of computer programming using the Python programming language. 学生检查数据类型, 变量, 条件语句, 循环, 数组结构, 结构化编程技术. 完成课程后, students will be able to use Python to apply problem solving skills to create applications for delivery to various platforms.

This course is intended to develop analytic reasoning and the ability to solve quantitative problems. 要涵盖的主题可能包括:建设 & interpretation of graphs; descriptive statistics; geometry & spatial visualizations; math of finance; functions and modeling; probability; and logic. 正确使用单位和尺寸, 估计, 数学符号, 可用的技术将贯穿整个课程.

在本课程中, students will learn the basic concepts of data analysis and how they are used to drive business processes. 学生将学习识别和检索相关的数据源, 并使用预配置和自定义工具准备数据进行分析. 完成本课程后, students will be able to prepare data for further analysis to drive decision making for business.

This course is 设计ed for learners to develop knowledge and skills in all aspects of the writing process. Planning, organizing, writing, editing and revising are applied through a variety of activities. 学生将分析读者和目的, 使用研究元素, 并使用标准准则格式化文档. Individuals will develop critical reading skills through analysis of various written documents.

在本课程中 students will learn basic concepts and applications of 人工智能(AI), 包括人工智能项目周期. Instruction will focus on issues surrounding AI including ethics, bias, culture, regulations. 完成本课程后 students will be able to apply AI concepts to organizational solutions.

选修统计学入门课程的学生用图表展示数据, 用数字描述分布，进行相关分析和回归分析, 设计实验. They use probability and distributions to make predictions, estimate parameters, and test hypotheses. 他们对包括方差分析在内的关系进行推断.

请填写801-196口头/人际沟通或801-198演讲. 这仅供参考. 一旦你注册了你的课程，你可以从你的时间表中删除这个块.

在本课程中 students will learn Machine Learning (ML) concepts and Python applications. 这将包括关于数据采集的指导, 监督学习和非监督学习, 数据建模. 完成本课程后 studnes will able to apply ML concepts to organizational solutions.

在本课程中，学生将探索信息系统及其在组织中的作用. 他们检查管理决策支持系统, 系统分析和设计方法, 信息处理技术, 以及他们在决策中的作用. Students will explore tools and techniques for supporting and executing organizational processes. 完成课程后, students will work as a team to 设计 an information systems solution to meet a specific business need.

This course introduces students to some of the major theories and topics of psychology, 包括行为的生理基础, 人格和学习理论, 内存, 意识状态, 压力, 研究方法, 情报, 人类发展, 精神病理学, 以及社会行为.

在本课程中，学生将建立在数据分析1中学到的技能. Students will learn to work with large data sets and organize that information for effective data analysis. 学生使用商业数据分析软件包, 并创建自定义计算机程序来分析数据. 完成课程后, 学生将能够使用各种软件工具对相关数据进行分析, 并使用生成的信息来帮助做出明智的业务决策.

完成三个选修学分. The suggested electives are: 152-182 Web Programming 152-184 Java Programming 1 138-118 International Bizsquad 152-097 JavaScript 150-106 Intrusion Detection Systems 这仅供参考. 一旦你注册了你的课程，你可以从你的时间表中删除这个块.

在本课程中 students will learn the fundamental concepts in 自然语言处理(NLP) and text processing. Instructions will focus on knowledge and skills necessary to create language recognition applications. 完成课程后 students will be able to build an application that processing language to apply to an organizational solution.

在本课程中，学生将学习使用R编程语言来分析数据. 学生将学习R语言的语法和数据结构, 以及如何运用语言进行传统的统计分析, 比如经济状况调查, 变量的相关性, 线性回归. 在完成, students will be able to create R programs to process data and create meaningful output rooted in sound statistical techniques.

在本课程中 students will learn the fundamental concepts in Computer Vision (CV) and image processing. Instruction will include usage of Python CV libraries and building software applications to process images. 完成本课程后 students will be able to build an application to apply to organizational solutions.

在本课程中, 学生将学会组织, 管理和分析来自不同来源的大型数据集. Students will use software tools to present complex data in visually meaningful representations that can be communicated to business stakeholders. 在完成, students will learn how to transform raw data into meaningful information that will be utilized for data-driven decision making.

在本课程中，学生将数据分析技术应用于现实世界的项目. Students will interface with a client data source and prepare the data for analysis to help determine the outcome a industry problem that needs to be solved. 完成本课程后, 学生们将在团队中创建可视化, 收集商业情报信息, 并提供结构化数据，以帮助做出业务决策.

请填写809-143微观经济学或809-195经济学. 这仅供参考. 一旦你注册了你的课程，你可以从你的时间表中删除这个块.