Flax Baby Sweater Knitting Class - Two Sessions, Feb. 23 and Mar. 2.
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Class: Flax Baby Sweater Knitting Class
Instructor: Heather Storta
Dates: February 23, 2:00-4:30 and March 2, 2:00-4:30
PLEASE NOTE: Classes are NON-REFUNDABLE unless cancelled by Cheers To Ewe! Discounts and/or sales are not applicable to class fees. Registered students receive 10% off materials for classes for which they are registered.
Prerequisites: Advanced beginner knitter. Must know cast on, knit, purl, bind off, basic decreases and knitting in the round.
About this class: Join TKGA certified Master Knitter Heather Storta for this sweater knitting class! Students will be walked through knitting a top-down raglan baby sweater while gaining the confidence to tackle larger adult sweaters. We will cover important sweater topics such as checking gauge, choosing a size, increases, blocking, and finishing methods. Come knit this small sweater with us, and then you will be well on your way for your next adult-sized sweater project!
Skills student will learn: The basics of seamless sweater knitting, focusing on raglan sweater shapes.
Materials - Materials for class are available for purchase at Cheers To Ewe! and are not included in the price of this class. All materials purchased for classes are 10% off for students enrolled in the class.
Here's What You'll Need:
- ‘Flax’ Pattern.
- 300 yards Worsted weight yarn.
- Needles: Size US 6 and US 8 (or size needed to obtain gauge). 16” circulars and dpns.
- Gauge swatch, blocked.
- Homework: using larger needles, knit a gauge swatch in stockinette and block it. The desired gauge is 18 sts and 22 rnds on larger needles.
Please bring your notion bag to classes.
PATTERN will be available at Cheers To Ewe! Please bring your notions bag to every class. Please DO NOT begin this project before class unless class homework has been included in the class description or is sent out by the teacher before class. Teachers often incorporate foundational techniques and lessons in the beginning stages of class, and you will not be able to take advantage of that learning if you jump ahead.