Specify that the course is no longer maintained

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Haskell and Functional Programming course for complete beginners.
> 👩‍🏫 The course was created in 2022 but it's still active and
> constantly improving.
> :warning: The course authors no longer provide reviews of the solutions.
> However, all the learning materials are free and publicly available.
> You can learn Haskell on your own or with the help of others.
Course learning materials comprises:
Course learning materials comprise:
* [🎥 Four 1-hour lectures on YouTube][video]
* [🖼 Slides][slides]
@ -19,18 +20,11 @@ Course learning materials comprises:
[slides]: https://slides.com/haskellbeginners2022
[exercises]: https://github.com/haskell-beginners-2022/exercises
The course is entirely free and includes two particularly interesting features:
+ 🆙 **Review of your solutions to exercises!**
+ 📜 **A certificate after successful completion!**
You can solve exercises, and I'm (Dmitrii Kovanikov) going to provide
review to your solutions, suggesting improvements and alternative ways
to solve tasks using idiomatic FP.
The course is entirely free!
<hr>
Below you can find the plan of each individual lecture with the
Below you can find the plan for each individual lecture with the
corresponding links to learning materials.
## 🏡 Lecture 1: Fundamentals
@ -47,7 +41,7 @@ corresponding links to learning materials.
* Calling functions
* Types
* `:t` command in GHCi
* Types of booleans, numbers and functions
* Types of booleans, numbers, and functions
* Lists and operations with them
* Prepending, concatenation
* Standard list functions
@ -80,7 +74,7 @@ corresponding links to learning materials.
* `case-of`
* List patterns
* Recursion and pattern matching
* Pattern matching pitfalls
* Pattern-matching pitfalls
* Totality
* Tuples
* Algebraic Data Types
@ -189,19 +183,13 @@ following resources to continue your FP and Haskell journey:
blog generator from scratch.
* [Haskell in Depth](https://www.manning.com/books/haskell-in-depth):
A book about intermediate Haskell topics such as Monad Transformers,
metaprogramming, testing, logging and performance analysis.
metaprogramming, testing, logging, and performance analysis.
* [Functional Design and Architecture ](https://www.manning.com/books/functional-design-and-architecture):
Design patterns and architectures for building production quality
applications using functional programming, with examples in Haskell
and other FP languages.
* [Haskell Study Plan](https://github.com/soupi/haskell-study-plan):
More links on different topics and examples to real-world Haskell
More links on different topics and examples of real-world Haskell
projects.
* [Awesome List of Haskell mentors](https://github.com/willbasky/Awesome-list-of-Haskell-mentors):
A list of Haskell projects and mentors willing to help you master Haskell.
## History
Below is the link to the original course announcement:
* [Course announcement](https://kodimensional.dev/course)