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AI Tools Every College Student (for Learning and Research) Should Know: Part 6, WolframAlpha (Problem Solving)

This course covers the basic concepts and features of WolframAlpha AI and how to use it to solve real-world problems. It provides hands-on examples of how to use WolframAlpha effectively in everyday life and in university learning and research. By using AI tools, you can improve your ability to perform complex calculations, analyze data, and tackle research assignments.

1 learners are taking this course

Level Basic

Course period 12 months

AI
AI
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AI
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What you will gain after the course

  • Understand the basic features of WolframAlpha AI and solve various problems encountered in everyday life and learning.

  • You can effectively use WolframAlpha in university studies and research to tackle complex calculation and analysis tasks.

  • Can identify the characteristics of conversational and generative AI, and select and use AI tools suited to the purpose.

An Essential AI Tool for College Students (Learning and Research), Part 6 · WolframAlpha

Leave complex formulas and data to AI.

The basic concepts and features of WolframAlpha, hands-on examples of calculations, data analysis, and research assignments, and ways university students can use it for learning and research.

대학생(학습, 연구)이 꼭 알아야 할 AI 도구 Part.6 · WolframAlpha 강의 대표 이미지

You can design and solve complex calculations, data analyses, and research assignments directly with WolframAlpha.

TOOL

Tools Covered

These are the main tools used in the hands-on exercises during the lecture.

WA

WolframAlpha

Based on the Free Plan

OUTPUT

What You’ll Create

These are the hands-on projects you’ll create during the course.

🧮

Results of complex mathematical calculations

Results of solving complex equations, such as derivatives, integrals, and equations, using WolframAlpha.

Lesson 2
📊

Data Analysis Chart

Visualization results derived through data input and analysis queries.

Lesson 2
📑

Research Project Solution

Organizing WolframAlpha results tailored to learning and research topics

Lesson 3
CURRICULUM

Here’s what you’ll learn

By taking the course, you can learn the following:

Lesson 1

WolframAlpha AI Orientation

Understand the history and characteristics of AI, and learn why WolframAlpha is well suited to solving problems.

Lesson 2

Basic Usage and Practical Examples

Learn the basic input methods and query design techniques, and gain practical skills you can apply right away through everyday examples.

Lesson 3

Using WolframAlpha for University Study and Research

Practice applying WolframAlpha to coursework in your field and research projects to efficiently perform complex calculations and data analysis.

NOTICE

Things to Note Before Taking the Course

  • If you have any questions while taking the course, please check the course provider’s separate channel rather than the course’s Q&A board.
  • You can learn faster by using the playback speed feature.
  • The UI reflects the service as it was at the time of recording, so the screen may look different depending on WolframAlpha updates.
  • It will be easier to follow along with the exercises if you prepare a free WolframAlpha account in advance.
  • This lecture is Part 6 and can be studied independently without taking the previous parts.

Recommended for
these people

Who is this course right for?

  • College students who want to use AI tools for learning and research activities

  • Teachers and private academy instructors who want to use AI to prepare lessons and educational materials.

  • A working professional who wants to learn problem-solving AI tools to improve work efficiency

Need to know before starting?

  • Basic web search skills using computers and internet browsers

  • Basic interest in and understanding of AI and generative AI

  • Foundational knowledge required to undertake university-level study and research.

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4 lectures ∙ (1hr 6min)

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