哈佛大学AI、Python在语言研究中应用免费课程开放注册

1.Artificial Intelligence in Business

Learn how to manage and apply artificial intelligence in the global business world. Develop an understanding of when to pursue new technologies and how they fit into your business strategy.

Leverage new technologies to create value for your organization.

🔗URL: https://pll.harvard.edu/course/artificial-intelligence-business-creating-value-machine-learning

2.Data Science: Machine Learning

In this course, part of our Professional Certificate Program in Data Science, you will learn popular machine learning algorithms, principal component analysis, and regularization by building a movie recommendation system.

You will learn about training data, and how to use a set of data to discover potentially predictive relationships. As you build the movie recommendation system, you will learn how to train algorithms using training data so you can predict the outcome for future datasets. You will also learn about overtraining and techniques to avoid it such as cross-validation. All of these skills are fundamental to machine learning.

🔗URL: https://pll.harvard.edu/course/data-science-machine-learning

3.Teaching Strategies

Teaching strategies are practical instruments specifically utilized to enhance learners’ comprehension and boost knowledge retention. Effective teaching strategies inspire learners to dream big and act decisively, by following a well-detailed study plan. These strategies are purposeful and systematic, helping learners to set precise goals, to efficiently manage their time and resources, and to navigate large amounts of information with ease.

🔗URL:https://www.edx.org/learn/teaching-strategies

4.Data science with Python

Learners must have a minimum baseline of programming knowledge (preferably in Python) and statistics in order to be successful in this course. Python prerequisites can be met with an introductory Python course offered through CS50’s Introduction to Programming with Python, and statistics prerequisites can be met via Fat Chance or with Stat110 offered through HarvardX.

https://pll.harvard.edu/course/introduction-data-science-python?delta=0

5.CS50's Understanding Technology

This is CS50's introduction to technology for students who don’t (yet) consider themselves computer persons. Designed for those who work with technology every day but don’t necessarily understand how it all works underneath the hood or how to solve problems when something goes wrong, this course fills in the gaps, empowering you to use and troubleshoot technology more effectively. Through lectures on hardware, the Internet, multimedia, security, programming, and web development, this course equips you for today’s technology and prepares you for tomorrow’s as well.

https://pll.harvard.edu/course/cs50s-understanding-technology-0?delta=0

6.Programming with Python

An introduction to programming using a language called Python. Learn how to read and write code as well as how to test and "debug" it. Designed for students with or without prior programming experience who'd like to learn Python specifically. Learn about functions, arguments, and return values (oh my!); variables and types; conditionals and Boolean expressions; and loops. Learn how to handle exceptions, find and fix bugs, and write unit tests; use third-party libraries; validate and extract data with regular expressions; model real-world entities with classes, objects, methods, and properties; and read and write files. Hands-on opportunities for lots of practice. Exercises inspired by real-world programming problems. No software required except for a web browser, or you can write code on your own PC or Mac.

https://pll.harvard.edu/course/introduction-data-science-python?delta=0

7.Machine Learning and AI with Python

It’s time to make a decision: beach or mountains? When choosing where you want to go for vacation, it can be simple. The options may be a or b. From a decision-making standpoint, it’s easy for the brain to process this decision tree. But, what happens when you’re faced with more complex, multifaceted decisions? You might make a comprehensive pro/con list, rank ordering the most important considerations. But, that can take endless amounts of time that you might not have to spare. When parsing through thousands or millions of data points, you and your organization need to tap into a more sophisticated approach.

https://www.edx.org/learn/python

8.Educational technology

Educational technology, often referred to as EdTech, is the integration of technology tools, digital resources, and innovative methodologies to enhance and optimize the teaching and learning process. It encompasses a wide range of digital tools and devices that facilitate interactive and engaging educational experiences. 

EdTech equips educators with tools to create dynamic and interactive lessons, harnessing multimedia, simulations, and online collaboration to foster a deeper understanding. It aims to make learning more accessible, personalized and effective, catering to diverse learning styles and needs.

https://www.edx.org/learn/educational-technology

9.Project-based learning

Project-based learning (PBL) is a student-centered learning practice designed to teach concepts using real-world problems and challenges. PBL is commonly used to develop critical thinking skills and produce high-quality, deeply engaging classroom models and lesson plans.

https://www.edx.org/learn/project-based-learning

10.Learn ESL 

ESL programs are designed to help non-native English speakers develop their English language skills in reading, writing, speaking, and listening. ESL is essential for individuals who migrate to English-speaking countries, as it enables them to communicate effectively in various aspects of life, such as work, education, and daily interactions. These programs cater to learners of all ages and proficiency levels, offering specialized curricula to meet diverse needs. Instruction can take various forms, including one-on-one tutoring, group classes, online courses, and immersion programs. Teachers use various methodologies and resources to engage learners and foster language acquisition.

https://www.edx.org/learn/esl-english-as-a-second-language

11.Learn linguistics

Human language is complex, and language acquisition still isn't fully understood. Linguistics is the scientific study of language and all its forms. It examines both the meaning (semantics) and structure (syntax) of language, as well as its multitude of sounds (phonetics). Linguists study how languages are formed, how they evolve over time, and how they are used in communication. They investigate the cognitive processes involved in language production and comprehension, and analyze the social and cultural factors that influence language use.

https://www.edx.org/learn/linguistics

12.Research Methods

Research methods refer to the systematic approaches and techniques used to gather and analyze data in order to answer research questions or investigate a specific topic. These methods provide a structured framework for conducting research and ensure the reliability and validity of the findings. Commonly used research methods include, but are not limited to, experiments, surveys, observational research, qualitative research, quantitative research, and meta-analyses. 

Depending on the research field, topic, and research questions, researchers may combine and adapt various methods to suit their specific needs. It's essential to select the most appropriate research methods that align with the research objectives, resources, and ethical considerations.

https://www.edx.org/learn/research

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